Response to nutrient variation on lipid productivity in green microalgae captured using second derivative FTIR and Raman spectroscopy
Abstract
Two green microalgae species Monoraphidium contortum (M. contortum) and Chlamydomonas sp. that were identified to accumulate lipids were subjected to four different nutrient treatments (NP1-NP4), ranging in nitrate (0.05-5 mM N) and phosphate (2.8-264 μM P) concentrations, at a fixed N:P ratio of ∼18. The effect of nutrient variation on lipid productivity in the species was investigated using second derivative (SD) FTIR and Raman spectroscopy of algal biomass. SD spectral analysis revealed high production of lipid in the form of hydrocarbons (CH) (3000-2800 cm-1), triacylglycerides (TAGs)(∼1740 cm-1), saturated (SFA)(∼1440 cm-1), and unsaturated fatty acids (UFA)(∼3010 cm-1) for the nutrient deplete condition (NP1) in both species. Changes in signals attributed to lipids in proportion to other biochemical components were consistent with physiological changes expected from nutrient depletion. Relative signal intensities for lipids showed a significant increase in NP1, in particular, CH, TAGs in relation to protein signals (in SD-FTIR), and SFA, UFA in relation to carotenoid signals (in SD-Raman). PCA performed on the negative spectral values of the SD-FTIR and SD-Raman data for the four NP treatments enabled discrimination not only between the species but also between the NP treatments and the timing of harvest. M. contortum was found to contain a relatively higher proportion of CH, TAGs, SFA, and UFA compared to Chlamydomonas sp. Peak areas from the negative SD spectra, informed by PCA analysis, enabled capturing quantifiable changes in a manner that is consistent with known microalgal physiology. SD-FTIR and SD-Raman spectroscopy have been shown to possess superior potential to capture relevant microalgal physiological changes.
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TL;DR
Second-derivative FTIR and Raman spectroscopy of algal biomass captured nutrient-stress-induced lipid accumulation in *Monoraphidium contortum* and *Chlamydomonas* sp., with nutrient-deplete NP1 showing the strongest lipid signals. PCA on negative SD spectral values discriminated species, NP treatments, and harvest timing, supporting SD vibrational spectroscopy as a quantitative screening approach.
Key findings
- Nutrient depletion (NP1) increased lipids in both species: CH:protein ratio rose about threefold for *M. contortum* on day 20 and nearly twofold for *M. contortum* day 10 and *Chlamydomonas* sp. on both days; CH:carotenoid ratio rose fourfold for both species.
- TAG accumulation was higher in *M. contortum*: TAGs:protein increased up to fivefold on day 20 and fourfold on day 10, while *Chlamydomonas* sp. showed nearly fourfold on both days. SFA:carotenoid increased eightfold in *M. contortum* and threefold in *Chlamydomonas* sp.
- Carbohydrates also increased under NP1: carbohydrate:protein rose almost threefold for both species on both days; carbohydrate:carotenoid rose nearly eightfold in *M. contortum* and fourfold in *Chlamydomonas* sp.
- PCA on SD-FTIR explained 94% of total variance in the first three PCs for both species; SD-Raman PC2 explained 30% and PC3 14% for day-10 samples, and NP1-only SD-Raman PC2 explained 19% of variance.
Methods
- Two freshwater green microalgae, *M. contortum* and *Chlamydomonas* sp., were grown in modified BG11 under four nitrate/phosphate treatments: NP4 replete (5000 µM N : 264 µM P), NP3 (2525:134), NP2 (1287.5:69), and NP1 deplete (50:2.8), at an N:P ratio near 18.
- Biomass was harvested on days 10 and 20, freeze-dried, and analyzed by FTIR (144 spectra; 3 technical × 3 biological replicates per treatment/day/species) and Raman (48 spectra; 3 biological replicates per treatment/day/species).
- Spectra were smoothed with Savitzky–Golay, converted to second derivatives, and analyzed by PCA on negative SD values; integrated peak areas from negative SD spectra were used for relative and absolute quantification.
Limitations
- The paper does not include a dedicated limitations section. It notes that Raman signals for carbonyl peaks are weak, so TAGs were not observed in Raman spectra, and that UFA intensity variation between NP treatments was not discernible in FTIR.
- The SD-Raman PCA included only day-10 samples because day 20 did not show a discernible difference in signal as much as day 10.
- Evident from the text: no independent biochemical validation such as lipid extraction, chromatography, or fatty acid profiling is reported; conclusions rely on spectral peak assignments, relative ratios, and PCA.
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- Findingown data§ ABSTRACT · p. 2
M. contortum contained a relatively higher proportion of CH, TAGs, SFA, and UFA compared to Chlamydomonas sp.
“M. contortum was found to contain a relatively higher proportion of CH, TAGs, SFA, and UFA compared to Chlamydomonas sp.”
Quote in the paperSubstantial claim - Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 12
CH band intensities of NP1 are relatively higher than the other NP treatments.
“The CH band intensities of NP1 (Fig. 1B and D) are relatively higher than the other NP treatments.”
Quote in the paperSubstantial claim - Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 12
In all four NP treatments, distinct peaks at ~2924 cm-1 and ~2846 cm-1 from CH2 asymmetric and symmetric stretches of hydrocarbons (CH) were observed in FTIR spectra.
“It can be seen in the overlay of FTIR spectra (Fig.1A) that in all four NP treatments, distinct peaks at ~2924 cm -1 and ~2846 cm -1 from the CH2 asymmetric and symmetric stretches of hydrocarbons (CH) were observed.”
Quote in the paperNot a substantial claim - Findingnone given§ 3.1.1. Effect of nutrient variation on Lipids · p. 14
Intensity variation between the NP treatments for UFA peaks is not discernible.
“Intensity variation between the NP treatments for UFA peaks is not discernible.”
Quote in the paperNot a substantial claim - Findingown data§ 3.1. Qualitative assessment of algal biomass spectra at varying NP treatments · p. 7
There is intensity variation in biomolecular bands (mainly lipids, proteins, carbohydrates, and carotenoids) between the four NP treatments.
“It can be seen in figures 1 to 4 that there is intensity variation in the biomolecular bands (mainly lipids, proteins, carbohydrates, and carotenoids) between the four NP treatments.”
Quote in the paperSubstantial claim
- Findingown data§ ABSTRACT · p. 2
Peak areas from the negative SD spectra, informed by PCA analysis, enabled capturing quantifiable changes in a manner that is consistent with known microalgal physiology.
“Peak areas from the negative SD spectra, informed by PCA analysis, enabled capturing quantifiable changes in a manner that is consistent with known microalgal physiology.”
Quote in the paperSubstantial claim - Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 12
For M. contortum on its 20th day of growth, similar results were observed except for a reduction in the intensity of the peak at 1380 cm-1 compared to the 10th day.
“Similar results were observed for M.contortum on its 20 th day of growth (Fig.2), except for a reduction in the intensity of the peak 1380cm -1 than on its 10 th day of growth (Table 2).”
Quote in the paperNot a substantial claim - Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 12
The intensity of the ν(C=C) stretches from carotenoids (~1515 cm-1) is high for the replete (NP4) condition in Raman and SD-Raman spectra of both species.
“The Raman and SD-Raman spectra of the two species M.contortum (Fig.1C and D) and Chlamydomonas sp. (Fig.3C and D) showed that the intensity of the ν(C=C) stretches from carotenoids (~1515 cm -1 ) is high for the replete (NP4) condition.”
Quote in the paperSubstantial claim - Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 12
SD-FTIR and SD-Raman spectra revealed the presence of all four characteristic stretches of hydrocarbons (νasCH3, νasCH2, νsCH3, νsCH2) in the expected region 3000-2800 cm-1.
“As SD spectra enhance the spectral resolution, the presence of all the four characteristic stretches of hydrocarbons ( ν asCH3 , ν asCH2 , ν sCH3 , ν sCH2) was revealed by the SD-FTIR (Fig. 1B) and SD-Raman spectra (Fig. 1D) in the expected region 3000 -2800 cm -1 [23,52,54].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [23] [23] C. Esther Elizabeth Grace, P. Kiruthika Lakshmi, S. Meenakshi, S. Vaidyanathan, S. Srisudha, M. Briget Mary, Biomolecular transitions and lipid accumulation in green microalgae monitored by FTIR and Raman analysis, Spectrochim. Acta -Part A Mol. Biomol. Spectrosc. 224 (2020). https://doi.org/10.1016/j.saa.2019.117382. - source
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- cites [52] [52] B.H. Stuart, Infrared Spectroscopy: Fundamentals and Applications, John Wiley & Sons, Ltd, Chichester, UK, 2004. https://doi.org/10.1002/0470011149. - source
Not checked in the free run.
- cites [54] [54] P. Larkin, Infrared and Raman spectroscopy: Principles and Spectral Interpretation, 1st Editio, Elsevier, 2011. - http://www.chemistry.uoc.gr/lapkin/Infrared\_and\_Raman\_Spectroscopy\_\_Principles\_and\_Spectral\_Inte rpretation.pdf. - source
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- Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 12
The increase in CH intensity for NP4 was not as prominent in Chlamydomonas sp. as in M. contortum.
“However, an increase in CH intensity for NP4 was not as prominent as in M.contortum (Fig.3B, 3D, 4B, and 4D).”
Quote in the paperSubstantial claim - Findingown data§ 3.1.2 Effect of nutrient variation on other biomolecules · p. 14
The normal FTIR and SD-FTIR spectra of the two species on their 10th and 20th days of growth show a gradual decrease in the amide I (~1654 cm-1) and amide II (~1540 cm-1) band intensities of proteins from the replete (NP4) to deplete condition (NP1).
“The normal FTIR (Fig. 1A, 2A, 3A, and 4A) and SD-FTIR (Fig. 1B, 2B, 3B, and 4B) spectra of the two species on their 10 th and 20 th days of growth clearly show a gradual decrease in the amide I (~1654cm -1 ) and amide II (~1540 cm -1 ) band intensities of proteins from the replete (NP4) to deplete condition (NP1).”
Quote in the paperSubstantial claim - Findingown data§ 3.1. Qualitative assessment of algal biomass spectra at varying NP treatments · p. 7
Biomolecules present in M. contortum were identified from FTIR, SD-FTIR, Raman, and SD-Raman spectra.
“Biomolecules present in M.contortum (Table 2) were identified from the FTIR (Fig. 1A, 2A), SD-FTIR (Fig.1B, 2B), Raman (Fig. 1C, 2C) and SD-Raman spectra (Fig.1D, 2D).”
Quote in the paperSubstantial claim - Findingcitation§ 3.1.1. Effect of nutrient variation on Lipids · p. 12
There was no increase in intensity of CH deformation bands at ~1460 cm-1 (δasCH3) and ~1380 cm-1 (δsCH3) with NP1 treatment.
“Although these bands represent both lipids and proteins, there was no increase in their intensity with NP1 treatment [26,53].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [26] [26] M. Kansiz, P. Heraud, B. Wood, F. Burden, J. Beardall, D. McNaughton, Fourier transform infrared microspectroscopy and chemometrics as a tool for the discrimination of cyanobacterial strains, Phytochemistry. 52 (1999) 407 -417. https://doi.org/10.1016/S0031-9422(99)00212-5. - source
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- cites [53] [53] J.N. Murdock, D.L. Wetzel, FT-IR Microspectroscopy Enhances Biological and Ecological Analysis of Algae, Appl. Spectrosc. Rev. 44 (2009) 335 -361. https://doi.org/10.1080/05704920902907440. -
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- Findingown data§ 3.1.2 Effect of nutrient variation on other biomolecules · p. 15
A decrease in carotenoid pigments from the NP4 to NP1 treatments was revealed in the Raman and SD-Raman spectra.
“Furthermore, the decrease in carotenoid pigments from the NP4 to NP1 treatments was revealed in the Raman and SD-Raman spectra.”
Quote in the paperNot a substantial claim - Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 12
An increase in the intensity of the CH band for NP4 (replete condition) was also observed.
“On the contrary, an increase in the intensity of the CH band for NP4 (a replete condition with surplus nutrients) was also observed (Fig.1B and D).”
Quote in the paperSubstantial claim - Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 12
M. contortum has a higher amount of carotenoids than Chlamydomonas sp.
“The increased amount of carotenoids in M.contortum than Chlamydomonas sp. can also be seen in the SD-FTIR at ~1510 cm -1 (IR) (Fig.1B and 3B) and SD-Raman at ~1515 cm -1 (Raman) (Fig.1D and 3D).”
Quote in the paperNot a substantial claim - Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 12
Chlamydomonas sp. exhibited an increase in CH intensities (3000-2800 cm-1) with nutrient depletion (NP1) on the 10th and 20th days of growth.
“Chlamydomonas sp. also exhibited an increase in CH intensities (3000-2800 cm -1 ) with nutrient depletion (NP1) on the 10 th (Fig.3) and 20 th (Fig.4) days of growth, in accordance with previous studies [9,13,58].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [9] [9] A.P. Dean, D.C. Sigee, B. Estrada, J.K. Pittman, Using FTIR spectroscopy for rapid determination of lipid accumulation in response to nitrogen limitation in freshwater microalgae, Bioresour. Technol. 101 (2010) 4499 -4507. https://doi.org/10.1016/j.biortech.2010.01.065. - source
Not checked in the free run.
- cites [13] [13] A.K. Bajhaiya, A.P. Dean, T. Driver, D.K. Trivedi, N.J.W. Rattray, J.W. Allwood, R. Goodacre, J.K. Pittman, High-throughput metabolic screening of microalgae genetic variation in response to nutrient - limitation, Metabolomics. 12 (2016) 1 -14. https://doi.org/10.1007/s11306-015-0878-4. - source
Not checked in the free run.
- cites [58] [58] A.P. Dean, J.M. Nicholson, D.C. Sigee, Impact of phosphorus quota and growth phase on carbon allocation in Chlamydomonas reinhardtii: An FTIR microspectroscopy study, Eur. J. Phycol. 43 (2008) 345 -354. https://doi.org/10.1080/09670260801979287. - source
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- Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 13
In NP2 to NP4 treatments, the TAG peak at ~1740 cm-1 was observed as shoulder peaks.
“In NP2 to NP4 treatments, it was observed as shoulder peaks.”
Quote in the paperSubstantial claim - Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 12
All NP treatments showed CH3 asymmetric and symmetric stretches at ~2950 cm-1 and ~2862 cm-1 in Raman spectra.
“Similarly, all of the NP treatments showed CH3 asymmetric and symmetric stretches at ~ 2950 cm -1 and ~ 2862 cm -1 in Raman spectra (Fig.1C).”
Quote in the paperNot a substantial claim - Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 13
The FTIR spectra of M. contortum and Chlamydomonas sp. on both 10th and 20th days for the four NP treatments show that the spectra of the limited NP concentration (NP1) were distinct from the rest by the presence of a sharp peak at ~1740 cm-1 that corresponds to TAGs.
“FTIR spectra of M.contortum (Fig. 1A and 2A) and Chlamydomonas sp. (Fig. 3A and 4A) on both 10 th and 20 th days of growth for the four NP treatments show that the spectra of the limited NP concentration (NP1) were distinct from the rest of the NP treatments by the presence of a sharp peak at ~1740cm -1 that corresponds to TAGs.”
Quote in the paperSubstantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26
SD-FTIR spectra showed a gradual decrease in the content of proteins from replete (NP4) to deplete (NP1) condition.
“SD-FTIR spectra (Fig.11A, and B) showed a gradual decrease in the content of proteins, from replete (NP4) to deplete (NP1) condition.”
Quote in the paperNot a substantial claim - Findingown data§ 3.1.3.3. Spectral variance between species and days for NP1 treatment · p. 21
The negative peaks at ~1515, ~2820, and ~2860 cm-1 indicate that carotenoids are higher in Chlamydomonas sp. for NP1 treatment.
“While, the negative peaks at ~1515, ~2820, and ~2860 cm -1 , indicate that carotenoids are higher in Chlamydomonas sp. for NP1 treatment.”
Quote in the paperSubstantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26
The reduction in carotenoid for NP1 is obvious in SD-Raman.
“Although a gradual decrease as in the case of proteins, was not observed, the reduction in carotenoid for NP1 is obvious, as discussed in Section 3.1.2.”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 22
A fourfold increase in CH was observed for both species for the NP1 treatment from the CH:carotenoid ratio.
“Similarly, a fourfold increase in CH was observed for both the species for the NP1 treatment from the CH:carotenoid ratio (Fig.9B).”
Quote in the paperSubstantial claim - Findingown data§ 3.1.3.1. PCA on the SD-FTIR to analyse spectral variance between NP treatments · p. 17
The region corresponding to hydrocarbons (~2924, ~2846 cm-1), TAGs (~1740 cm-1), and carbohydrates (~1153, ~1079, ~1058, and ~1030 cm-1) are more in NP1 compared to NP4.
“Interpreting the corresponding loadings plot (Fig. 5B) shows that the region corresponding to hydrocarbons (~2924, ~2846 cm -1 ), TAGs (~1740 cm -1 ), and carbohydrates (~1153,~1079,~1058, and ~ 1030 cm -1 ) are more in NP1 compared to NP4.”
Quote in the paperSubstantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25
The response of M. contortum to NP1 is more drastic than to NP2-NP4 on the 20th day of its growth.
“It can be seen that the response of M.contortum to NP1 is drastic than for NP2 - NP4 on the 20 th day of its growth.”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 22
Chlamydomonas sp. showed nearly a fourfold increase in TAGs on both days of growth.
“While, Chlamydomonas sp., showed nearly a fourfold increase on both days of growth.”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26
Both species tend to accumulate more carbohydrates on their 20th day of growth.
“Both species tend to accumulate more carbohydrates on their 20 th day of growth.”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26
The production of carbohydrates in the two species is higher for nutrient depletion (NP1) than for other treatments.
“The production of carbohydrates in the two species is higher for nutrient depletion (NP1) than for other treatments.”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26
The accumulation of TAGs and saturated lipids (SFA) for the two species was evident in both species in response to NP1 treatment.
“The accumulation of TAGs (Fig.11A and B) and saturated lipids (SFA) (Fig.11C and D) for the two species was evident in both species in response to NP1 treatment.”
Quote in the paperSubstantial claim - Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 23
PCA indicated a higher accumulation of carbohydrates in M. contortum compared to Chlamydomonas sp.
“PCA indicated a higher accumulation of carbohydrates in M.contortum compared to Chlamydomonas sp.”
Quote in the paperSubstantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25
Both M. contortum and Chlamydomonas sp. respond to nutrient deplete condition (NP1) with higher accumulation of lipids in the form of hydrocarbons (CH), TAGs, saturated lipids (SFA), and unsaturated lipids.
“Both M.contortum and Chlamydomonas sp., have been found to respond to the nutrient deplete condition (NP1) with higher accumulation of lipids in the form of hydrocarbons (CH), TAGs, saturated lipids (SFA), and unsaturated lipids (Fig.11A-D).”
- Also stated in: § 4. Conclusion · p. 27 · plain
“Both microalgae species are shown to respond to nutritional stress (NP1) by a higher accumulation of lipids, particularly neutral lipids which indicate the suitability of these species for biodiesel application, as well as lipid production, in general.”
Quote in the paperSubstantial claim - Also stated in: § 4. Conclusion · p. 27 · plain
- Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25
The production of lipids is higher on the 20th day than the 10th day of growth for both species.
“The production of lipids is higher on the 20 th day than the 10 th day of growth for both species.”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 23
Almost a threefold increase in the carbohydrate:protein ratio was observed for both species on both days of growth.
“Almost a threefold increase in the carbohydrate: protein ratio was observed for both species on both days of growth (Fig.10A).”
Quote in the paperNot a substantial claim - Findingown data§ 3.1.3.2. PCA on the SD-Raman to analyse spectral variance between NP treatments · p. 18
The difference in PC2 loadings is clear in M. contortum than in Chlamydomonas sp.
“The difference is clear in M. contortum than in Chlamydomonas sp.”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 27
For Chlamydomonas sp. on its 10th day of growth, the accumulation of carbohydrates is higher than M. contortum.
“On the other hand, it can be seen that for Chlamydomonas sp. on its 10 th day of growth, the accumulation of carbohydrates is higher than M.contortum (Fig.11B).”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 23
The relative content of carbohydrates was higher in the two species for nutrient deplete conditions (NP1).
“Similar to lipids, the relative content of carbohydrates (Fig.10) was higher in the two species for nutrient deplete conditions (NP1).”
Quote in the paperSubstantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26
The amount of proteins in the cells on the 20th day of growth was higher than on the 10th day.
“The amount of proteins in the cells on the 20 th day of growth was higher than on the 10 th day, which was evident on the PC3 loadings (Fig.7B) in the amide regions (~1653, 1540cm -1 ).”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25
The integrated band area of proteins and carotenoids used to normalize lipid and carbohydrate bands changed in response to the various nutrient treatments.
“the integrated band area of proteins and carotenoids that were used to normalize the lipids and carbohydrate bands, also changed in response to the various nutrient treatments (Fig.1, 2, 3, and 4).”
Quote in the paperNot a substantial claim - Findingown data§ 3.1.3.1. PCA on the SD-FTIR to analyse spectral variance between NP treatments · p. 17
The indication that unsaturated lipid is higher in NP1 compared to NP4 is not evident in the Chlamydomonas response.
“This is not evident in the Chlamydomonas response.”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 22
The accumulation of TAGs was higher for M. contortum than Chlamydomonas sp.
“The accumulation of TAGs was high for M.contortum than Chlamydomonas sp. (Fig.9C).”
Quote in the paperNot a substantial claim - Findingown data§ 3.1.3.3. Spectral variance between species and days for NP1 treatment · p. 18
The regions corresponding to carbohydrates (~1153, ~1079, ~1058, and ~1030 cm-1) are higher in Chlamydomonas sp. compared to M. contortum.
“While the regions corresponding to carbohydrates (~1153, ~1079,~1058, and ~ 1030 cm -1 ) are higher in Chlamydomonas sp . compared to M. contortum .”
Quote in the paperNot a substantial claim - Findingown data§ 3.1.3.1. PCA on the SD-FTIR to analyse spectral variance between NP treatments · p. 17
Only the first three PCs were considered, as this explained 94% of the total variance for both M. contortum and Chlamydomonas sp.
“Only the first three PCs were considered, as this explained 94 % of the total variance for both M. contortum and Chlamydomonas sp.”
Quote in the paperSubstantial claim - Findingown data§ 3.1.3.1. PCA on the SD-FTIR to analyse spectral variance between NP treatments · p. 17
For M. contortum, the response to NP1 for both days clusters in the positive PC2 and PC3 scores plot.
“Similar results were observed for M. contortum (Fig. 5C and D), where the response to NP1 for both days clusters in the positive PC2 and PC3 scores plot.”
Quote in the paperSubstantial claim - Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 22
An increase in CH intensity was accompanied by an increase in TAGs:protein ratio and SFA:carotenoid ratio for the nutrient deplete condition (NP1) for both species.
“An increase in CH intensity was accompanied by an increase in TAGs: protein ratio (Fig. 9C) and SFA:carotenoid ratio (Fig. 9D) for the nutrient deplete condition (NP1) for both the species.”
Quote in the paperSubstantial claim - Findingown data§ 3.1.3.3. Spectral variance between species and days for NP1 treatment · p. 21
For NP1 treatment, the peak at ~1515 cm-1 was very weak for M. contortum than for Chlamydomonas sp.
“This was also evident from the overlay of SD-Raman spectra (Fig.1C and 3C), where for NP1 treatment, the peak at ~1515 was very weak for M.contortum (Fig.1C and Table 2) than for Chlamydomonas sp.(Fig.3C and Table 3).”
Quote in the paperNot a substantial claim - Findingown data§ 3.1.3.2. PCA on the SD-Raman to analyse spectral variance between NP treatments · p. 18
It is possible to differentiate the contributions attributed to the species along the PC3 direction, which explains 14% of the variance.
“It is also possible to differentiate the contributions that can be attributed to the species, along the PC3 direction, which explains 14% of the variance.”
Quote in the paperNot a substantial claim - Findingown data§ 3.1.3.3. Spectral variance between species and days for NP1 treatment · p. 18
The scores plot indicates the response separated on PC2 for the two species on both days for NP1 treatment.
“The scores plot (Fig. 7A) indicates the response separated on PC2 for the two species on both days.”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 23
The signal at ~1440 cm-1 corresponding to SFA is higher in M. contortum than Chlamydomonas sp. in the PCA on SD-Raman for NP1 treatment.
“This was evident from the PCA on SD-Raman for NP1 treatment (Fig.8B), where the signal at ~1440 cm -1 that corresponds to SFA is noted to be higher in M.contortum than Chlamydomonas sp.”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 22
NP1/NP4 from the CH:protein ratio showed a threefold increase of CH from replete to deplete condition for M. contortum on its 20th day of growth.
“Computing NP1/NP4 from CH:protein ratio (Fig.9A) showed a threefold increase of CH from replete to deplete condition for M.contortum on its 20 th day of growth”
Quote in the paperSubstantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25
Maximum peak area for accumulation of CH about 0.06 (SD-FTIR) and 90 (SD-Raman) was observed for M. contortum on its 20th day of growth.
“Maximum peak area (sq. units) for the accumulation of CH about 0.06 (SD-FTIR) (Fig.11A) and 90 (SD-Raman) (Fig.11C) was observed for M.contortum on its 20 th day of growth.”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26
Maximum peak area for UFA of 20 (SD-Raman) is observed for M. contortum.
“Maximum peak area for UFA of 20(SDRaman) is observed for M.contortum .”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26
The responses of the two microalgae to the various NP treatments can also be seen for other biomolecules such as proteins, carotenoids, and carbohydrates.
“The responses of the two microalgae to the various NP treatments can also be seen for other biomolecules such as proteins (Fig.11A and B), carotenoids (Fig.11C and D), and carbohydrates (Fig.11A-D).”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26
The variation in the accumulation of carotenoids was noticed in SD-Raman.
“Similarly, the variation in the accumulation of carotenoids was noticed in SD-Raman (Fig.11C and D).”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25
The difference in the accumulation of lipids between the two microalgae cells is clear.
“The difference in the accumulation of lipids between the two microalgae cells is also clear.”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26
An increase in CH, TAGs, SFA, and UFA for M. contortum was evident from the PCA.
“An increase in CH, TAGs, SFA, and UFA for M.contortum was also evident from the PCA (Fig.7 and 8).”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 22
The responses of the two species to the NP1 treatment are distinct from the other NP treatments.
“The accumulation of lipids relative to proteins (Fig.9A, C, and E) and carotenoids (Fig.9B, D, and F) clearly show that the responses of the two species to the NP1 treatment are distinct from the other NP treatments.”
Quote in the paperSubstantial claim - Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 23
The difference in the responses between the two species is clear in the carbohydrate:carotenoid ratio.
“The difference in the responses between the two species is clear in carbohydrate:carotenoid ratio (Fig.10B).”
Quote in the paperNot a substantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 27
PCA showed spectral variance between species and days for NP1 treatment.
“This was also observed in the PCA that showed spectral variance between species and days for NP1 treatment (Fig.7B).”
Quote in the paperNot a substantial claim - Findingreasoning§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 22
The reason to choose the carotenoid band to normalize lipid and carbohydrate bands in Raman spectra was the characteristic reduction in intensity of its peak at ~1515 cm-1 with nutrient depletion (NP1), similar to proteins in FTIR spectra.
“The reason to choose the carotenoid band to normalize the lipid and carbohydrate bands in the Raman spectra was due to the characteristic reduction in the intensity of its characteristic peak at ~1515 cm -1 ( ν C=C) with nutrient depletion (NP1), similar to proteins in FTIR spectra.”
Quote in the paperSubstantial claim - Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26
The quantity of unsaturated lipids (UFA) is clearer in SD-Raman than in SD-FTIR.
“The quantity of unsaturated lipids (UFA) is clear in SD-Raman (Fig.11C and D) than in SD-FTIR.”
Quote in the paperNot a substantial claim - Premisecitation§ ABSTRACT · p. 2
Monoraphidium contortum and Chlamydomonas sp. were identified to accumulate lipids.
“Two green microalgae species Monoraphidium contortum (M. contortum) and Chlamydomonas sp. that were identified to accumulate lipids were subjected to four different nutrient treatments (NP1-NP4)”
- Also stated in: § 2.1. Microalgal culture and growth conditions · p. 5 · plain
“Two freshwater green microalgae isolates, Monoraphidium contortum (M. contortum) and Chlamydomonas sp., that were identified to accumulate lipids [23]were subjected to four different treatments”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] [23] C. Esther Elizabeth Grace, P. Kiruthika Lakshmi, S. Meenakshi, S. Vaidyanathan, S. Srisudha, M. Briget Mary, Biomolecular transitions and lipid accumulation in green microalgae monitored by FTIR and Raman analysis, Spectrochim. Acta -Part A Mol. Biomol. Spectrosc. 224 (2020). https://doi.org/10.1016/j.saa.2019.117382. - source
Not checked in the free run.
- Also stated in: § 2.1. Microalgal culture and growth conditions · p. 5 · plain
- Premisecitation§ 1. Introduction · p. 3
Nutritional variability causes changes in the macromolecular composition of microalgae cells.
“Several studies to improve lipid production in microalgae have shown that nutritional variability causes changes in the macromolecular composition of microalgae cells [5,6].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [5] [5] K. Stehfest, J. Toepel, C. Wilhelm, The application of micro-FTIR spectroscopy to analyze nutrient stressrelated changes in biomass composition of phytoplankton algae, Plant Physiol. Biochem. 43 (2005) 717 -726. https://doi.org/10.1016/j.plaphy.2005.07.001. - source
Not checked in the free run.
- cites [6] [6] M. Palmucci, S. Ratti, M. Giordano, Ecological and evolutionary implications of carbon allocation in marine phytoplankton as a function of nitrogen availability: A fourier transform infrared spectroscopy approach, J. Phycol. 47 (2011) 313 -323. https://doi.org/10.1111/j.1529-8817.2011.00963.x. - source
Not checked in the free run.
- Premisecitation§ 1. Introduction · p. 3
Not all microalgae species respond to nutrient scarcity by accumulating carbohydrates or lipids.
“Although nutritional scarcity has caused metabolic changes in microalgae, such as the accumulation of carbohydrates and lipids, not all species have responded to nutrient scarcity by accumulating carbohydrates or lipids [6,13,14].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [6] [6] M. Palmucci, S. Ratti, M. Giordano, Ecological and evolutionary implications of carbon allocation in marine phytoplankton as a function of nitrogen availability: A fourier transform infrared spectroscopy approach, J. Phycol. 47 (2011) 313 -323. https://doi.org/10.1111/j.1529-8817.2011.00963.x. - source
Not checked in the free run.
- cites [13] [13] A.K. Bajhaiya, A.P. Dean, T. Driver, D.K. Trivedi, N.J.W. Rattray, J.W. Allwood, R. Goodacre, J.K. Pittman, High-throughput metabolic screening of microalgae genetic variation in response to nutrient - limitation, Metabolomics. 12 (2016) 1 -14. https://doi.org/10.1007/s11306-015-0878-4. - source
Not checked in the free run.
- cites [14] [14] T. Driver, A.K. Bajhaiya, J.W. Allwood, R. Goodacre, J.K. Pittman, A.P. Dean, Metabolic responses of eukaryotic microalgae to environmental stress limit the ability of FT-IR spectroscopy for species identi fi cation, 11 (2015) 148 -155. https://doi.org/10.1016/j.algal.2015.06.009. - source
Not checked in the free run.
- Premisecitation§ 1. Introduction · p. 3
Nitrogen and phosphorus limitation causes changes in photosynthetic activity, lipid synthesis, and biomass composition in freshwater and marine microalgae.
“Studies have indicated changes in photosynthetic activity, lipid synthesis, and biomass composition in freshwater and marine microalgae as a result of nitrogen and phosphorus limitation [8 -11].”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [8] [8] Y. Jiang, T. Yoshida, A. Quigg, Photosynthetic performance, lipid production and biomass composition in response to nitrogen limitation in marine microalgae, Plant Physiol. Biochem. 54 (2012) 70 -77. https://doi.org/10.1016/j.plaphy.2012.02.012. - source
Not checked in the free run.
- cites [9] [9] A.P. Dean, D.C. Sigee, B. Estrada, J.K. Pittman, Using FTIR spectroscopy for rapid determination of lipid accumulation in response to nitrogen limitation in freshwater microalgae, Bioresour. Technol. 101 (2010) 4499 -4507. https://doi.org/10.1016/j.biortech.2010.01.065. - source
Not checked in the free run.
- cites [10] [10] A.M. Illman, A.H. Scragg, ScienceDirect Enzyme and Microbial Technology : Increase in Chlorella strains calorific values when grown in low nitrogen medium, Enzyme Microb. Technol. 27 (2000) 631 -635. 11. http://www.sciencedirect.com/science/article/pii/S0141022900002660%0Apapers2://publication/uuid/B 7537DAC-F40B-4395-9341-739FEEA48F97. - source
Not checked in the free run.
- cites [11] [11] A.P. Dean, J.M. Nicholson, D.C. Sigee, Impact of phosphorus quota and growth phase on carbon allocation in Chlamydomonas reinhardtii: An FTIR microspectroscopy study, Eur. J. Phycol. 43 (2008) 345 -354. https://doi.org/10.1080/09670260801979287. - source
Not checked in the free run.
- Premisecitation§ 1. Introduction · p. 4
Second derivative spectroscopy enables accurate measurements of wavelength position by identifying small and overlapping peaks that are not resolved in the original spectra.
“SD spectroscopy enables accurate measurements of wavelength position by identifying small and overlapping peaks that are not resolved in the original spectra. [23,46,47].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [23] [23] C. Esther Elizabeth Grace, P. Kiruthika Lakshmi, S. Meenakshi, S. Vaidyanathan, S. Srisudha, M. Briget Mary, Biomolecular transitions and lipid accumulation in green microalgae monitored by FTIR and Raman analysis, Spectrochim. Acta -Part A Mol. Biomol. Spectrosc. 224 (2020). https://doi.org/10.1016/j.saa.2019.117382. - source
Not checked in the free run.
- cites [46] [46] L. Rieppo, S. Saarakkala, T. Närhi, H.J. Helminen, J.S. Jurvelin, J. Rieppo, Application of second derivative spectroscopy for increasing molecular specificity of fourier transform infrared spectroscopic imaging of articular cartilage, Osteoarthr. Cartil. 20 (2012) 451 -459. https://doi.org/10.1016/j.joca.2012.01.010. - source
Not checked in the free run.
- cites [47] [47] D. Ami, R. Posteri, P. Mereghetti, D. Porro, S.M. Doglia, P. Branduardi, Fourier transform infrared spectroscopy as a method to study lipid accumulation in oleaginous yeasts, Biotechnol. Biofuels. 7 (2014) 1 -14. https://doi.org/10.1186/1754-6834-7-12. - source
Not checked in the free run.
- Premisecitation§ 2.1. Microalgal culture and growth conditions · p. 5
The N:P ratio approximating 18 is in a physiologically acceptable range for assessing nutrient stress.
“at an N:P ratio approximating 18, which is in a physiologically acceptable range for assessing nutrient stress [48 -51].”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [48] [48] R.W. Sterner, Nutrient Stoichiometry in Aquatic Ecosystems, in: Encycl. Inl. Waters, Elsevier, 2009: pp. 820 -831. https://doi.org/10.1016/B978-012370626-3.00113-7. - source
Not checked in the free run.
- cites [49] [49] P.G. Falkowski, Rationalizing elemental ratios in unicellular algae, J. Phycol. 36 (2000) 3 -6. https://doi.org/10.1046/j.1529-8817.2000.99161.x. - source
Not checked in the free run.
- cites [50] [50] A.C. Redfield, Redfield\_AmSci\_1958.pdf, Am. Sci. (1958). -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [51] [51] R.J. Geider, J. La Roche, Redfield revisited: Variability of C:N:P in marine microalgae and its biochemical basis, Eur. J. Phycol. 37 (2002) 1 -17. https://doi.org/10.1017/S0967026201003456. - source
Not checked in the free run.
- Premisecitation§ 3.1.2 Effect of nutrient variation on other biomolecules · p. 15
Primary carotenoids associated with growth are degraded under stress.
“Although studies have shown that nutrient deprivation can increase carotenoid production [66,67], it is also known that the primary carotenoids which are associated with growth are degraded under stress [68,69].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [68] [68] T.Q. Shi, L.R. Wang, Z.X. Zhang, X.M. Sun, H. Huang, Stresses as First-Line Tools for Enhancing Lipid and Carotenoid Production in Microalgae, Front. Bioeng. Biotechnol. 8 (2020) 1 -9. https://doi.org/10.3389/fbioe.2020.00610. - source
Not checked in the free run.
- cites [69] [69] A.C. Guedes, H.M. Amaro, F.X. Malcata, Microalgae as sources of carotenoids, Mar. Drugs. 9 (2011) 625 -644. https://doi.org/10.3390/md9040625. - source
Not checked in the free run.
- Interpretationown data§ ABSTRACT · p. 2
Changes in signals attributed to lipids in proportion to other biochemical components were consistent with physiological changes expected from nutrient depletion.
“Changes in signals attributed to lipids in proportion to other biochemical components were consistent with physiological changes expected from nutrient depletion.”
Quote in the paperSubstantial claim - Interpretationown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 12
The reduction in intensity of the 1380 cm-1 peak may indicate reduction of the symmetric CH3 deformation either from lipids or proteins.
“This may indicate the reduction of the symmetric CH3 deformation either from lipids or proteins.”
Quote in the paperNot a substantial claim - Interpretationown data§ ABSTRACT · p. 2
SD-FTIR and SD-Raman spectroscopy possess superior potential to capture relevant microalgal physiological changes.
“SD-FTIR and SD-Raman spectroscopy have been shown to possess superior potential to capture relevant microalgal physiological changes.”
Quote in the paperSubstantial claim - Interpretationown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 13
An increase in the intensity of CH along with other indicators of lipids such as TAGs (IR) and fatty acids (Raman) can confirm the enhancement of lipid accumulation in the microalgae cells in response to NP1 treatment.
“Therefore, an increase in the intensity of CH along with the other indicators of lipids such as TAGs (IR), and fatty acids (Raman) can confirm the enhancement of lipid accumulation in the microalgae cells in response to NP1 treatment.”
Quote in the paperSubstantial claim - Interpretationown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 12
The nutritional surplus is impacting carotenoid accumulation in microalgae cells.
“This indicates that the nutritional surplus is impacting carotenoid accumulation in microalgae cells.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 3.1.1. Effect of nutrient variation on Lipids · p. 14
The weak intensity of the UFA bands in comparison to the SFA band (~1440 cm-1) indicates that these two microalgae are rich in saturated fatty acids.
“The weak intensity of these bands in comparison to the SFA band (~1440 cm -1 ) indicates that these two microalgae are rich in saturated fatty acids [36,38,60].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [36] [36] O. Samek, P. Zemánek, A. Jonáš, H.H. Telle, Characterization of oil -producing microalgae using Raman spectroscopy, Laser Phys. Lett. 8 (2011) 701 -709. https://doi.org/10.1002/lapl.201110060. - source
Not checked in the free run.
- cites [38] [38] S.K. Sharma, D.R. Nelson, R. Abdrabu, B. Khraiwesh, K. Jij akli, M. Arnoux, M.J. O'Connor, T. Bahmani, H. Cai, S. Khapli, R. Jagannathan, K. Salehi-Ashtiani, An integrative Raman microscopy-based workflow for rapid in situ analysis of microalgal lipid bodies, Biotechnol. Biofuels. 8 (2015) 1 -14. https://doi.org/10.1186/s13068-015-0349-1. - source
Not checked in the free run.
- cites [60] [60] J. De Gelder, K. De Gussem, P. Vandenabeele, L. Moens, Reference database of Raman spectra of biological molecules, J. Raman Spectrosc. 38 (2007) 1133 -1147. https://doi.org/10.1002/jrs.1734. -
Not checked in the free run.
- Interpretationreasoning§ 3.1.1. Effect of nutrient variation on Lipids · p. 12
In addition to proteins, other factors may have contributed to the increase in CH intensities for M. contortum in NP4 that is not seen to the same extent in Chlamydomonas sp.
“This suggests that in addition to proteins, other factors may have contributed to the increase in CH intensities for M.contortum in NP4 that is not seen to the same extent in Chlamydomonas sp.”
Quote in the paperSubstantial claim - Interpretationown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 13
The two species M. contortum and Chlamydomonas sp. have produced more neutral lipids (TAGs) with nutritional depletion.
“This indicates that the two species M.contortum and Chlamydomonas sp. have produced more neutral lipids (TAGs) with nutritional depletion [9,20,61 -63] and it is a positive indication that these microalgae species can be tapped for biodiesel production.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [9] [9] A.P. Dean, D.C. Sigee, B. Estrada, J.K. Pittman, Using FTIR spectroscopy for rapid determination of lipid accumulation in response to nitrogen limitation in freshwater microalgae, Bioresour. Technol. 101 (2010) 4499 -4507. https://doi.org/10.1016/j.biortech.2010.01.065. - source
Not checked in the free run.
- cites [20] [20] K. Stehfest, J. Toepel, C. Wilhelm, The application of micro-FTIR spectroscopy to analyze nutrient stressrelated changes in biomass composition of phytoplankton algae, 43 (2005) 717 -726. https://doi.org/10.1016/j.plaphy.2005.07.001. - source
Not checked in the free run.
- cites [61] [61] R. Miglio, S. Palmery, M. Salvalaggio, L. Carnelli, F. Capuano, R. Borrelli, Microalgae triacylglycerols content by FT-IR spectroscopy, (2013) 1621 -1631. https://doi.org/10.1007/s10811-013-0007-6. - source
Not checked in the free run.
- cites [62] [62] K. Zienkiewicz, Z.Y. Du, W. Ma, K. Vollheyde, C. Benning, Stress-induced neutral lipid biosynthesis in microalgae -Molecular, cellular and physiological insights, Biochim. Biophys. Acta - Mol. Cell Biol. Lipids. 1861 (2016). https://doi.org/10.1016/j.bbalip.2016.02.008. - source
Not checked in the free run.
- cites [63] [63] P.-L. Shen, H.-T. Wang, Y.-F. Pan, Y.-Y. Meng, P.-C. Wu, S. Xue, Identification of Characteristic Fatty Acids to Quantify Triacylglycerols in Microalgae, Front. Plant Sci. 7 (2016). https://doi.org/10.3389/fpls.2016.00162. - source
Not checked in the free run.
- Interpretationown data§ 3.1.2 Effect of nutrient variation on other biomolecules · p. 15
These spectral variations reflect the cell metabolism of the two microalgae species in response to the nutrient variations.
“These spectral variations reflect the cell metabolism of the two microalgae species in response to the nutrient variations.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 4. Conclusion · p. 27
SD-FTIR and SD-Raman spectroscopy have greater potential as superior screening methods for enhancing the resolution and easy quantification of key biochemical composition in algae, relevant to its usage in developing environmentally sustainable manufacturing solutions.
“Thus SD-FTIR and SD-Raman spectroscopy have greater potential as superior screening methods for enhancing the resolution and easy quantification of key biochemical composition in algae, relevant to its usage in developing environmentally sustainable manufacturing solutions.”
Quote in the paperSubstantial claim - Premisecitation§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25
According to Beer Lambert's law, absorbance (FTIR and its derivatives SD-FTIR) is proportional to the analyte concentration.
“According to Beer L ambert's law, absorbance [(FTIR) and its derivatives (SD-FTIR)] is proportional to the analyte concentration [45,46].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [45] [45] H. Mark, J.W. Jr, J.W. Jr, Derivatives in Spectroscopy, 18 (2003). - source
Not checked in the free run.
- cites [46] [46] L. Rieppo, S. Saarakkala, T. Närhi, H.J. Helminen, J.S. Jurvelin, J. Rieppo, Application of second derivative spectroscopy for increasing molecular specificity of fourier transform infrared spectroscopic imaging of articular cartilage, Osteoarthr. Cartil. 20 (2012) 451 -459. https://doi.org/10.1016/j.joca.2012.01.010. - source
Not checked in the free run.
- Interpretationown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 27
SD spectroscopy has captured the effect of nutrient variation on lipid production and other biomolecules in the two species.
“Thus SD spectroscopy has captured the effect of nutrient variation on lipid production and the other biomolecules in the two species.”
- Also stated in: § 4. Conclusion · p. 27 · boosted
“Second derivative (SD) FTIR and Raman spectroscopy has effectively captured the responses of the two microalgae species M.contortum and Chlamydomonas sp. to the four different nutrient treatments.”
Quote in the paperSubstantial claim - Also stated in: § 4. Conclusion · p. 27 · boosted
- Interpretationreasoning§ 3.1.3.1. PCA on the SD-FTIR to analyse spectral variance between NP treatments · p. 17
The negative peaks in the corresponding loadings plots can be associated more with NP1 than with NP4.
“Therefore, the negative peaks in the corresponding loadings plots can be associated more with this set of samples (NP1) than with the diagonally opposite set (NP4).”
Quote in the paperSubstantial claim - Interpretationown data§ 3.1.3.3. Spectral variance between species and days for NP1 treatment · p. 18
In the NP1 treatment, M. contortum is likely to have more hydrocarbons and unsaturated lipids than Chlamydomonas sp.
“This suggests that in the NP1 treatment, M. contortum is likely to have more hydrocarbons and unsaturated lipids than Chlamydomonas sp.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 4. Conclusion · p. 27
SD spectroscopy, in particular the negative regions, combined with PCA has considerably improved the quality of assessment of lipids and other biomolecular compositions compared to normal (zero-order) FTIR and Raman spectroscopy.
“SD spectroscopy, in particular, the negative regions, combined with PCA has considerably improved the quality of assessment of lipids and other biomolecular compositions which was not possible with the normal (Zero-order) FTIR and Raman spectroscopy.”
Quote in the paperSubstantial claim - Interpretationown data§ 4. Conclusion · p. 27
The usage of the negative region of the SD spectra is of value in enabling consistent and quantifiable monitoring of changes relevant to the biochemical composition of microalgal cells that is consistent with known physiology.
“In particular, the usage of the negative region of the SD spectra has been shown to be of value in enabling consistent and quantifiable monitoring of changes relevant to the biochemical composition of microalgal cells that is consistent with known physiology.”
Quote in the paperSubstantial claim - Interpretationown data§ 3.1.3.2. PCA on the SD-Raman to analyse spectral variance between NP treatments · p. 18
These latter differences in PC3 are distanced further in the nutrient rich conditions (NP3 and 4), suggesting that the species level differences are evident better in these conditions.
“It can also be noted that these latter differences in PC3 are distanced further in the nutrient rich conditions (NP3 and 4), suggesting that the species level differences are evident better in these conditions.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 27
This investigation provides evidence for the use of the negative regions of both SD-FTIR and SD-Raman to be of considerable value in assessing quantitative changes consistent with known physiology of the microalgae examined.
“This investigation thus provides evidence for the use of the negative regions of both the SD-FTIR and SD-Raman to be of considerable value in assessing quantitative changes that are consistent with the known physiology of the microalgae examined.”
Quote in the paperSubstantial claim - Premisecitation§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25
For the peak area to be applied as absolute content, it is important to have the sample quantity and analysis conditions the same for all analyses, to prevent alteration in the spectral information.
“However, for this to be applied, it is important to have the sample quantity and analysis conditions the same for all analyses, to prevent alteration in the spectral information [43].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [43] [43] M.J. Pelletier, Quantitative Analysis Using Raman Spectrometry, Appl. Spectrosc. 57 (2003) 20A-42A. https://doi.org/10.1366/000370203321165133. - source
Not checked in the free run.
- Premisecitation§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30
The ~2850 cm−1 IR band is assigned to νs(CH2) symmetric stretches.
“~ 2846 | ~ 2820 | s + | m + | s + | w + | s + | m + | vs + |”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [9] [9] A.P. Dean, D.C. Sigee, B. Estrada, J.K. Pittman, Using FTIR spectroscopy for rapid determination of lipid accumulation in response to nitrogen limitation in freshwater microalgae, Bioresour. Technol. 101 (2010) 4499 -4507. https://doi.org/10.1016/j.biortech.2010.01.065. - source
Not checked in the free run.
- cites [20] [20] K. Stehfest, J. Toepel, C. Wilhelm, The application of micro-FTIR spectroscopy to analyze nutrient stressrelated changes in biomass composition of phytoplankton algae, 43 (2005) 717 -726. https://doi.org/10.1016/j.plaphy.2005.07.001. - source
Not checked in the free run.
- cites [52] [52] B.H. Stuart, Infrared Spectroscopy: Fundamentals and Applications, John Wiley & Sons, Ltd, Chichester, UK, 2004. https://doi.org/10.1002/0470011149. - source
Not checked in the free run.
- cites [53] [53] J.N. Murdock, D.L. Wetzel, FT-IR Microspectroscopy Enhances Biological and Ecological Analysis of Algae, Appl. Spectrosc. Rev. 44 (2009) 335 -361. https://doi.org/10.1080/05704920902907440. - source
Not checked in the free run.
- cites [54] [54] P. Larkin, Infrared and Raman spectroscopy: Principles and Spectral Interpretation, 1st Editio, Elsevier, 2011. - http://www.chemistry.uoc.gr/lapkin/Infrared\_and\_Raman\_Spectroscopy\_\_Principles\_and\_Spectral\_Inte rpretation.pdf. - source
Not checked in the free run.
- Interpretationreasoning§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25
The main advantage of using second derivative spectroscopy is that it allows for quantitative analysis.
“The main advantage of using second derivative spectroscopy is that it allows for quantitative analysis.”
Quote in the paperSubstantial claim - Premisecitation§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30
The ~1740 cm−1 IR band is assigned to ν(C=O) stretches of esters from lipids - Triacylglycerides (TAGs).
“~ 1740 | | m + | | m + | | m + | | s + |”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [9] [9] A.P. Dean, D.C. Sigee, B. Estrada, J.K. Pittman, Using FTIR spectroscopy for rapid determination of lipid accumulation in response to nitrogen limitation in freshwater microalgae, Bioresour. Technol. 101 (2010) 4499 -4507. https://doi.org/10.1016/j.biortech.2010.01.065. - source
Not checked in the free run.
- cites [20] [20] K. Stehfest, J. Toepel, C. Wilhelm, The application of micro-FTIR spectroscopy to analyze nutrient stressrelated changes in biomass composition of phytoplankton algae, 43 (2005) 717 -726. https://doi.org/10.1016/j.plaphy.2005.07.001. - source
Not checked in the free run.
- cites [52] [52] B.H. Stuart, Infrared Spectroscopy: Fundamentals and Applications, John Wiley & Sons, Ltd, Chichester, UK, 2004. https://doi.org/10.1002/0470011149. - source
Not checked in the free run.
- cites [53] [53] J.N. Murdock, D.L. Wetzel, FT-IR Microspectroscopy Enhances Biological and Ecological Analysis of Algae, Appl. Spectrosc. Rev. 44 (2009) 335 -361. https://doi.org/10.1080/05704920902907440. - source
Not checked in the free run.
- cites [54] [54] P. Larkin, Infrared and Raman spectroscopy: Principles and Spectral Interpretation, 1st Editio, Elsevier, 2011. - http://www.chemistry.uoc.gr/lapkin/Infrared\_and\_Raman\_Spectroscopy\_\_Principles\_and\_Spectral\_Inte rpretation.pdf. - source
Not checked in the free run.
- Premisecitation§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30
The ~1658 cm−1 Raman band is assigned to cis ν(C=C) from unsaturated lipids.
“~ 1654 | ~ 1658 | s + | w + | s + | vw + | s + | vw + | m + |”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [9] [9] A.P. Dean, D.C. Sigee, B. Estrada, J.K. Pittman, Using FTIR spectroscopy for rapid determination of lipid accumulation in response to nitrogen limitation in freshwater microalgae, Bioresour. Technol. 101 (2010) 4499 -4507. https://doi.org/10.1016/j.biortech.2010.01.065. - source
Not checked in the free run.
- cites [20] [20] K. Stehfest, J. Toepel, C. Wilhelm, The application of micro-FTIR spectroscopy to analyze nutrient stressrelated changes in biomass composition of phytoplankton algae, 43 (2005) 717 -726. https://doi.org/10.1016/j.plaphy.2005.07.001. - source
Not checked in the free run.
- cites [52] [52] B.H. Stuart, Infrared Spectroscopy: Fundamentals and Applications, John Wiley & Sons, Ltd, Chichester, UK, 2004. https://doi.org/10.1002/0470011149. - source
Not checked in the free run.
- cites [53] [53] J.N. Murdock, D.L. Wetzel, FT-IR Microspectroscopy Enhances Biological and Ecological Analysis of Algae, Appl. Spectrosc. Rev. 44 (2009) 335 -361. https://doi.org/10.1080/05704920902907440. - source
Not checked in the free run.
- cites [54] [54] P. Larkin, Infrared and Raman spectroscopy: Principles and Spectral Interpretation, 1st Editio, Elsevier, 2011. - http://www.chemistry.uoc.gr/lapkin/Infrared\_and\_Raman\_Spectroscopy\_\_Principles\_and\_Spectral\_Inte rpretation.pdf. - source
Not checked in the free run.
- Premisecitation§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30
The ~1654 cm−1 IR band is assigned to ν(C=O), ν(C-N) stretches and δ(N-H) deformations of Amide I from proteins.
“~ 1654 | ~ 1658 | s + | w + | s + | vw + | s + | vw + | m + |”
Quote in the paperNot a substantial claim0 of 5 sources checked- cites [9] [9] A.P. Dean, D.C. Sigee, B. Estrada, J.K. Pittman, Using FTIR spectroscopy for rapid determination of lipid accumulation in response to nitrogen limitation in freshwater microalgae, Bioresour. Technol. 101 (2010) 4499 -4507. https://doi.org/10.1016/j.biortech.2010.01.065. - source
Not checked in the free run.
- cites [20] [20] K. Stehfest, J. Toepel, C. Wilhelm, The application of micro-FTIR spectroscopy to analyze nutrient stressrelated changes in biomass composition of phytoplankton algae, 43 (2005) 717 -726. https://doi.org/10.1016/j.plaphy.2005.07.001. - source
Not checked in the free run.
- cites [52] [52] B.H. Stuart, Infrared Spectroscopy: Fundamentals and Applications, John Wiley & Sons, Ltd, Chichester, UK, 2004. https://doi.org/10.1002/0470011149. - source
Not checked in the free run.
- cites [53] [53] J.N. Murdock, D.L. Wetzel, FT-IR Microspectroscopy Enhances Biological and Ecological Analysis of Algae, Appl. Spectrosc. Rev. 44 (2009) 335 -361. https://doi.org/10.1080/05704920902907440. - source
Not checked in the free run.
- cites [54] [54] P. Larkin, Infrared and Raman spectroscopy: Principles and Spectral Interpretation, 1st Editio, Elsevier, 2011. - http://www.chemistry.uoc.gr/lapkin/Infrared\_and\_Raman\_Spectroscopy\_\_Principles\_and\_Spectral\_Inte rpretation.pdf. - source
Not checked in the free run.
- Interpretationreasoning§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25
Changes in absolute peak areas are likely to reflect the spectral variations more quantitatively.
“Changes in absolute peak areas are also likely to reflect the spectral variations more quantitatively.”
Quote in the paperSubstantial claim - Premisecitation§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25
The intensity of Raman scattering and the corresponding derivative (SD-Raman) intensity as a function of Raman shift is proportional to the analyte concentration.
“Similarly, the intensity of Raman scattering and the corresponding derivative (SD-Raman) intensity as a function of Raman shift is proportional to the analyte concentration [43,54].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [43] [43] M.J. Pelletier, Quantitative Analysis Using Raman Spectrometry, Appl. Spectrosc. 57 (2003) 20A-42A. https://doi.org/10.1366/000370203321165133. - source
Not checked in the free run.
- cites [54] [54] P. Larkin, Infrared and Raman spectroscopy: Principles and Spectral Interpretation, 1st Editio, Elsevier, 2011. - http://www.chemistry.uoc.gr/lapkin/Infrared\_and\_Raman\_Spectroscopy\_\_Principles\_and\_Spectral\_Inte rpretation.pdf. - source
Not checked in the free run.
- Premisecitation§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30
The ~3010 cm−1 IR band is assigned to (=CH) stretches from unsaturated lipids.
“~ 3010 | ~ 3014 | w + | w + | w + | vw + | w + | vw + | w + |”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [9] [9] A.P. Dean, D.C. Sigee, B. Estrada, J.K. Pittman, Using FTIR spectroscopy for rapid determination of lipid accumulation in response to nitrogen limitation in freshwater microalgae, Bioresour. Technol. 101 (2010) 4499 -4507. https://doi.org/10.1016/j.biortech.2010.01.065. - source
Not checked in the free run.
- cites [20] [20] K. Stehfest, J. Toepel, C. Wilhelm, The application of micro-FTIR spectroscopy to analyze nutrient stressrelated changes in biomass composition of phytoplankton algae, 43 (2005) 717 -726. https://doi.org/10.1016/j.plaphy.2005.07.001. - source
Not checked in the free run.
- cites [52] [52] B.H. Stuart, Infrared Spectroscopy: Fundamentals and Applications, John Wiley & Sons, Ltd, Chichester, UK, 2004. https://doi.org/10.1002/0470011149. - source
Not checked in the free run.
- cites [53] [53] J.N. Murdock, D.L. Wetzel, FT-IR Microspectroscopy Enhances Biological and Ecological Analysis of Algae, Appl. Spectrosc. Rev. 44 (2009) 335 -361. https://doi.org/10.1080/05704920902907440. - source
Not checked in the free run.
- cites [54] [54] P. Larkin, Infrared and Raman spectroscopy: Principles and Spectral Interpretation, 1st Editio, Elsevier, 2011. - http://www.chemistry.uoc.gr/lapkin/Infrared\_and\_Raman\_Spectroscopy\_\_Principles\_and\_Spectral\_Inte rpretation.pdf. - source
Not checked in the free run.
- Premisecitation§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30
The ~1440 cm−1 Raman band is assigned to δ(CH2) scissoring from saturated lipids and hydrocarbons.
“| ~ 1440 | | s + | | s + | | s + |”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [9] [9] A.P. Dean, D.C. Sigee, B. Estrada, J.K. Pittman, Using FTIR spectroscopy for rapid determination of lipid accumulation in response to nitrogen limitation in freshwater microalgae, Bioresour. Technol. 101 (2010) 4499 -4507. https://doi.org/10.1016/j.biortech.2010.01.065. - source
Not checked in the free run.
- cites [20] [20] K. Stehfest, J. Toepel, C. Wilhelm, The application of micro-FTIR spectroscopy to analyze nutrient stressrelated changes in biomass composition of phytoplankton algae, 43 (2005) 717 -726. https://doi.org/10.1016/j.plaphy.2005.07.001. - source
Not checked in the free run.
- cites [52] [52] B.H. Stuart, Infrared Spectroscopy: Fundamentals and Applications, John Wiley & Sons, Ltd, Chichester, UK, 2004. https://doi.org/10.1002/0470011149. - source
Not checked in the free run.
- cites [53] [53] J.N. Murdock, D.L. Wetzel, FT-IR Microspectroscopy Enhances Biological and Ecological Analysis of Algae, Appl. Spectrosc. Rev. 44 (2009) 335 -361. https://doi.org/10.1080/05704920902907440. - source
Not checked in the free run.
- cites [54] [54] P. Larkin, Infrared and Raman spectroscopy: Principles and Spectral Interpretation, 1st Editio, Elsevier, 2011. - http://www.chemistry.uoc.gr/lapkin/Infrared\_and\_Raman\_Spectroscopy\_\_Principles\_and\_Spectral\_Inte rpretation.pdf. - source
Not checked in the free run.
- Premisecitation§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30
The ~1266 cm−1 IR band is assigned to δ(=CH) deformations from unsaturated lipids.
“~ 1266 | ~ 1264 | vw + | w + | vw + | w + | vw + | w + | vw + |”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [9] [9] A.P. Dean, D.C. Sigee, B. Estrada, J.K. Pittman, Using FTIR spectroscopy for rapid determination of lipid accumulation in response to nitrogen limitation in freshwater microalgae, Bioresour. Technol. 101 (2010) 4499 -4507. https://doi.org/10.1016/j.biortech.2010.01.065. - source
Not checked in the free run.
- cites [20] [20] K. Stehfest, J. Toepel, C. Wilhelm, The application of micro-FTIR spectroscopy to analyze nutrient stressrelated changes in biomass composition of phytoplankton algae, 43 (2005) 717 -726. https://doi.org/10.1016/j.plaphy.2005.07.001. - source
Not checked in the free run.
- cites [52] [52] B.H. Stuart, Infrared Spectroscopy: Fundamentals and Applications, John Wiley & Sons, Ltd, Chichester, UK, 2004. https://doi.org/10.1002/0470011149. - source
Not checked in the free run.
- cites [53] [53] J.N. Murdock, D.L. Wetzel, FT-IR Microspectroscopy Enhances Biological and Ecological Analysis of Algae, Appl. Spectrosc. Rev. 44 (2009) 335 -361. https://doi.org/10.1080/05704920902907440. - source
Not checked in the free run.
- cites [54] [54] P. Larkin, Infrared and Raman spectroscopy: Principles and Spectral Interpretation, 1st Editio, Elsevier, 2011. - http://www.chemistry.uoc.gr/lapkin/Infrared\_and\_Raman\_Spectroscopy\_\_Principles\_and\_Spectral\_Inte rpretation.pdf. - source
Not checked in the free run.
- Premisecitation§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30
The ~1380 cm−1 IR band is assigned to δs(CH3) symmetric bend from lipids and proteins.
“~ 1380 | | vs - | | s - | | m - | | w - |”
Quote in the paperNot a substantial claim0 of 5 sources checked- cites [9] [9] A.P. Dean, D.C. Sigee, B. Estrada, J.K. Pittman, Using FTIR spectroscopy for rapid determination of lipid accumulation in response to nitrogen limitation in freshwater microalgae, Bioresour. Technol. 101 (2010) 4499 -4507. https://doi.org/10.1016/j.biortech.2010.01.065. - source
Not checked in the free run.
- cites [20] [20] K. Stehfest, J. Toepel, C. Wilhelm, The application of micro-FTIR spectroscopy to analyze nutrient stressrelated changes in biomass composition of phytoplankton algae, 43 (2005) 717 -726. https://doi.org/10.1016/j.plaphy.2005.07.001. - source
Not checked in the free run.
- cites [52] [52] B.H. Stuart, Infrared Spectroscopy: Fundamentals and Applications, John Wiley & Sons, Ltd, Chichester, UK, 2004. https://doi.org/10.1002/0470011149. - source
Not checked in the free run.
- cites [53] [53] J.N. Murdock, D.L. Wetzel, FT-IR Microspectroscopy Enhances Biological and Ecological Analysis of Algae, Appl. Spectrosc. Rev. 44 (2009) 335 -361. https://doi.org/10.1080/05704920902907440. - source
Not checked in the free run.
- cites [54] [54] P. Larkin, Infrared and Raman spectroscopy: Principles and Spectral Interpretation, 1st Editio, Elsevier, 2011. - http://www.chemistry.uoc.gr/lapkin/Infrared\_and\_Raman\_Spectroscopy\_\_Principles\_and\_Spectral\_Inte rpretation.pdf. - source
Not checked in the free run.
- May combine two claims. 50
- The quote only partly states this claim. 5
- Classified as probably not a substantial claim. 26
May combine two claims.
Findingown data§ ABSTRACT · p. 2PCA performed on the negative spectral values of the SD-FTIR and SD-Raman data for the four NP treatments enabled discrimination between the species, between the NP treatments, and between the timing of harvest.
“PCA performed on the negative spectral values of the SDFTIR and SD-Raman data for the four NP treatments enabled discrimination not only between the species but also between the NP treatments and the timing of harvest.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ ABSTRACT · p. 2SD spectral analysis revealed high production of lipid in the form of hydrocarbons (CH) (3000-2800 cm-1), triacylglycerides (TAGs) (~1740 cm-1), saturated fatty acids (SFA) (~1440 cm-1), and unsaturated fatty acids (UFA) (~3010 cm-1) for the nutrient deplete condition (NP1) in both species.
“SD spectral analysis revealed high production of lipid in the form of hydrocarbons (CH) (3000-2800cm -1 ), triacylglycerides (TAGs)(~1740cm -1 ), saturated (SFA)(~1440 cm -1 ), and unsaturated fatty acids (UFA)(~3010 cm -1 ) for the nutrient deplete condition (NP1) in both species.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ ABSTRACT · p. 2Relative signal intensities for lipids showed a significant increase in NP1, in particular CH and TAGs in relation to protein signals in SD-FTIR, and SFA and UFA in relation to carotenoid signals in SD-Raman.
“Relative signal intensities for lipids showed a significant increase in NP1, in particular, CH, TAGs in relation to protein signals (in SD-FTIR), and SFA, UFA in relation to carotenoid signals (in SD-Raman).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 12An increase in the peak at ~1380 cm-1 for NP4, along with an increase in amide bands (~1650, ~1540 cm-1), was observed in Chlamydomonas sp.
“An increase in the peak at ~1380 cm -1 for NP4, along with the increase in amide bands (~1650, ~1540 cm -1 ) was observed.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 3.1.2 Effect of nutrient variation on other biomolecules · p. 15A very strong ν(C=C) peak at ~1515 cm-1 for NP4 and a weak intensity for NP1 was observed in M. contortum.
“A very strong ν(C=C) peak for NP4 and a weak intensity for NP1 was observed in M.contortum (Table 2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 13The shoulders at ~1740 cm-1 were resolved in the SD-FTIR spectra and the intensity of TAGs is maximum for NP1 in both species.
“These shoulders were resolved in the SD-FTIR spectra (Fig 1B, 2B, 3B, and 4B) and the intensity of TAGs is maximum for NP1 in both the species (Tables 2 and 3).”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone given§ 3.1.1. Effect of nutrient variation on Lipids · p. 14Raman signals are weak for carbonyl peaks and hence TAGs were not observed in Raman spectra.
“Raman signals are weak for carbonyl peaks and hence TAGs were not observed in Raman spectra.”
Quote in the paperNot a substantial claim- Rests on an assumption: Raman signals are weak for carbonyl peaks.
May combine two claims.
Findingcitation§ 3.1. Qualitative assessment of algal biomass spectra at varying NP treatments · p. 7Biomolecular groups in Chlamydomonas sp. were identified and variation in peak intensity between NP treatments and days of growth was assessed.
“Similarly, for Chlamydomonas sp ., (Fig.3 and 4) their biomolecular groups were identified and the variation in the intensity of the peaks between NP treatments and the days of growth was assessed and is tabulated in Table 3 [9,20,23,52 -54].”
Quote in the paperSubstantial claim0 of 6 sources checked- cites [9] [9] A.P. Dean, D.C. Sigee, B. Estrada, J.K. Pittman, Using FTIR spectroscopy for rapid determination of lipid accumulation in response to nitrogen limitation in freshwater microalgae, Bioresour. Technol. 101 (2010) 4499 -4507. https://doi.org/10.1016/j.biortech.2010.01.065. - source
Not checked in the free run.
- cites [20] [20] K. Stehfest, J. Toepel, C. Wilhelm, The application of micro-FTIR spectroscopy to analyze nutrient stressrelated changes in biomass composition of phytoplankton algae, 43 (2005) 717 -726. https://doi.org/10.1016/j.plaphy.2005.07.001. - source
Not checked in the free run.
- cites [23] [23] C. Esther Elizabeth Grace, P. Kiruthika Lakshmi, S. Meenakshi, S. Vaidyanathan, S. Srisudha, M. Briget Mary, Biomolecular transitions and lipid accumulation in green microalgae monitored by FTIR and Raman analysis, Spectrochim. Acta -Part A Mol. Biomol. Spectrosc. 224 (2020). https://doi.org/10.1016/j.saa.2019.117382. - source
Not checked in the free run.
- cites [52] [52] B.H. Stuart, Infrared Spectroscopy: Fundamentals and Applications, John Wiley & Sons, Ltd, Chichester, UK, 2004. https://doi.org/10.1002/0470011149. - source
Not checked in the free run.
- cites [53] [53] J.N. Murdock, D.L. Wetzel, FT-IR Microspectroscopy Enhances Biological and Ecological Analysis of Algae, Appl. Spectrosc. Rev. 44 (2009) 335 -361. https://doi.org/10.1080/05704920902907440. - source
Not checked in the free run.
- cites [54] [54] P. Larkin, Infrared and Raman spectroscopy: Principles and Spectral Interpretation, 1st Editio, Elsevier, 2011. - http://www.chemistry.uoc.gr/lapkin/Infrared\_and\_Raman\_Spectroscopy\_\_Principles\_and\_Spectral\_Inte rpretation.pdf. - source
Not checked in the free run.
May combine two claims.
Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 14SD-FTIR and SD-Raman spectra have revealed that M. contortum and Chlamydomonas sp. have responded to nutritional stress (NP1) by increasing the accumulation of lipids, particularly neutral lipids, as evidenced by an increase in the intensity of CH, accompanied by an increase in TAGs and SFA.
“SD-FTIR and SD-Raman spectra have revealed that M.contortum and Chlamydomonas sp. have responded to nutritional stress (NP1) by increasing the accumulation of lipids, particularly neutral lipids, as evidenced by an increase in the intensity of CH, accompanied by an increase in TAGs and SFA.”
Quote in the paperSubstantial claimMay combine two claims.
Findingcitation§ 3.1.2 Effect of nutrient variation on other biomolecules · p. 15A medium intense ν(C=C) peak at ~1515 cm-1 for NP4 and a weak peak for NP1 were observed in Chlamydomonas sp.
“While a medium intense peak for NP4 and a weak peak for NP1 were observed in Chlamydomonas sp.(Table 3)[60].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [60] [60] J. De Gelder, K. De Gussem, P. Vandenabeele, L. Moens, Reference database of Raman spectra of biological molecules, J. Raman Spectrosc. 38 (2007) 1133 -1147. https://doi.org/10.1002/jrs.1734. -
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Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 13An increase in intensity was mainly observed in TAGs (~1740 cm-1) but not in other lipid bands at ~1460 cm-1 and ~1380 cm-1 from CH deformation of hydrocarbons in the NP1 treatment.
“An increase in intensity was mainly observed in TAGs (~1740 cm -1 ) but not in other lipid bands at ~ 1460cm -1 and ~ 1380cm -1 from CH deformation of hydrocarbons (Fig 1B, 2B, 3B, and 4B) in the NP1 treatment.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3.1.1. Effect of nutrient variation on Lipids · p. 12The peak at ~1515 cm-1 (Raman) was very strong and the peak at ~1157 cm-1 (Raman) was strong for NP4 in M. contortum, whilst these were medium intense peaks for NP4 in Chlamydomonas sp.
“This was evident by the very strong peak at ~1515 cm -1 (Raman), and strong peak at ~1157cm -1 (Raman), for NP4 in M.contortum (Tables 2), whilst this was observed as medium intense peaks for NP4 in Chlamydomonas sp., (Table 3).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3.1.3.3. Spectral variance between species and days for NP1 treatment · p. 21The dominant contributions to the variance are at ~840, ~1330, ~1440, ~2950 cm-1, where the signals indicate greater levels in the M. contortum spectra compared to Chlamydomonas sp.
“The dominant contributions to the variance are at~ 840, ~1330, ~1440, ~2950 cm -1 , where the signals indicate greater levels in the M.contortum spectra compared to Chlamydomonas sp.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 22M. contortum exhibited a maximum fivefold increase in TAGs on its 20th day of growth and a fourfold increase on its 10th day of growth.
“M.contortum exhibited a maximum of fivefold increase on its 20 th day of growth and fourfold on its 10 th day of growth.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3.1.3.1. PCA on the SD-FTIR to analyse spectral variance between NP treatments · p. 17The band ~3010 cm-1 shows a slightly negative peak for PC2 and PC3, indicating that unsaturated lipid appears to be higher in NP1 compared to NP4 in M. contortum.
“The band ~3010 cm -1 shows a slightly negative peak for PC2 and PC3, indicating that unsaturated lipid appears to be higher in NP1 compared to NP4.”
Quote in the paperSubstantial claimMay combine two claims.
Findingreasoning§ 3.1.3.1. PCA on the SD-FTIR to analyse spectral variance between NP treatments · p. 17PCA analysis on the negative values of the SD spectra enabled discrimination that was not possible with the full SD spectra, as spectral noise contributed to the variance, masking the differences in the relevant signals.
“PCA analysis on the negative values of the SD spectra enabled this level of discrimination that was not possible with the full SD spectra, as spectral noise contributed to the variance, masking the differences in the relevant signals.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 22In nutrient-deplete condition (NP1), the CH:protein ratio and CH:carotenoid ratio show maximum production of hydrocarbons (CH).
“In nutrient deplete condition (NP1) CH:protein ratio (Fig.9A) and CH:carotenoid ratio (Fig. 9B) shows maximum production of hydrocarbons (CH).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3.1.3.3. Spectral variance between species and days for NP1 treatment · p. 18Although both species have accumulated higher lipids and carbohydrates in response to NP1, the difference in their accumulation between the species was evident.
“Although, both species have accumulated higher lipids and carbohydrates in response to NP1, the difference in their accumulation between the species was evident.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 23M. contortum showed a nearly eightfold increase in carbohydrates on the 10th and 20th day of growth, while Chlamydomonas sp. showed a fourfold increase.
“M.contortum showed a nearly eightfold increase in carbohydrates on the 10 th and 20 th day of growth, while Chlamydomonas sp. showed a fourfold increase.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 27Both species responded to nutrient stress by increasing lipid and carbohydrate accumulation, but SD spectroscopy revealed differences in the quantity of accumulation between the two species.
“Although both species responded to nutrient stress by increasing lipid and carbohydrate accumulation, SD spectroscopy revealed the differences in the quantity of accumulation between the two species with equal ability.”
Quote in the paperSubstantial claimMay combine two claims.
Findingcitation§ 3.1.3.3. Spectral variance between species and days for NP1 treatment · p. 19PC3 loadings in the amide regions (~1654, 1540 cm-1) are all in the positive direction, indicating that these are likely to be higher on the 20th day compared to the 10th day, where the protein content would be higher in the cells on the 20th day compared to the 10th day.
“PC3 loadings in the amide regions (~1654, 1540cm -1 ) are all in the positive direction indicating that these are likely to be higher on the 20 th day compared to the 10 th day, where the protein content would be higher in the cells on the 20 th day compared to the 10 th day [9,31].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [9] [9] A.P. Dean, D.C. Sigee, B. Estrada, J.K. Pittman, Using FTIR spectroscopy for rapid determination of lipid accumulation in response to nitrogen limitation in freshwater microalgae, Bioresour. Technol. 101 (2010) 4499 -4507. https://doi.org/10.1016/j.biortech.2010.01.065. - source
Not checked in the free run.
- cites [31] [31] C.J. Hirschmugl, Z. El Bayarri, M. Bunta, J.B. Holt, M. Giordano, Analysis of the nutritional status of algae by Fourier transform infrared chemical imaging, Infrared Phys. Technol. 49 (2006) 57 -63. https://doi.org/10.1016/j.infrared.2006.01.032. - source
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Findingown data§ 3.1.3.2. PCA on the SD-Raman to analyse spectral variance between NP treatments · p. 18The spectra of NP1 for both species clusters away from those ascribed to relatively nutrient sufficient conditions (NP2-NP4) along the PC2 direction, which explains 30% of the variance in the data.
“In particular, the spectra of NP1 (limiting nutrients) for both species clusters away from those ascribed to relatively nutrient sufficient conditions (NP2-NP4). This can be seen along the PC2 direction, which explains 30% of the variance in the data.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26The maximum peak area of proteins (0.03) was observed for Chlamydomonas sp. on its 20th day of growth, higher than M. contortum (0.028).
“The maximum peak area of proteins (0.03) was observed for Chlamydomonas sp. on its 20 th day of growth than M.contortum (0.028).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 3.1.3.1. PCA on the SD-FTIR to analyse spectral variance between NP treatments · p. 17PC1 and PC3 separate Chlamydomonas response to varying NP concentrations, with NP1 response (for both days) clustering in the space occupied by positive values of PC1 and PC3.
“PC1 and PC3 separate Chlamydomonas response to varying NP concentrations, with NP1 response (for both the days) clustering in the space occupied by positive values of PC1 and PC3 (Fig.5A).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 23Unsaturation of lipids increases with NP1, and M. contortum showed higher UFA than Chlamydomonas.
“Unsaturation of lipids also increases with NP1 and M.contortum showed high UFA than Chlamydomonas (Fig. 9E and 9F).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3.1.3.3. Spectral variance between species and days for NP1 treatment · p. 21Regions that show negative loadings are present higher in Chlamydomonas sp. than in M. contortum, and those that show positive loadings are present higher in M. contortum compared to Chlamydomonas sp.
“As can be seen from the loadings plots (Fig.8B), regions that show negative loadings are present higher in Chlamydomonas sp. than in M. contortum , and those that show positive loadings are present higher in M. contortum compared to Chlamydomonas sp.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 23The SFA:carotenoid ratio showed an eightfold increase for M. contortum and a threefold increase in Chlamydomonas sp. on both the 10th and 20th days of growth.
“Similarly, the SFA:carotenoid ratio (Fig.9D) showed an eightfold increase for M.contotum and a threefold increase in Chlamydomonas sp. on both the 10 th and 20 th days of growth.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26M. contortum exhibited a slightly higher accumulation of TAGs about 0.01 (SD-FTIR) and SFA about 40 (SD-Raman) than Chlamydomonas sp.
“However, M.contortum exhibited a slightly higher accumulation of TAGs about 0.01 (SD-FTIR) and SFA about 40(SD-Raman) than Chlamydomonas sp.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 3.1.3.2. PCA on the SD-Raman to analyse spectral variance between NP treatments · p. 18The signal at ~1515 cm-1 is lower in NP1 compared to the other conditions, which is consistent with decreased production of carotenoids in nutrient limiting conditions.
“On the other hand, the signal at ~1515 cm -1 is lower in NP1 compared to the other conditions, which is consistent with decreased production of carotenoids in nutrient limiting conditions.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 22NP1/NP4 from the CH:protein ratio showed nearly a twofold increase of CH for M. contortum on its 10th day and for Chlamydomonas sp. on its 10th and 20th days of growth.
“and nearly a twofold increase for M.contortum (10 th day) and Chlamydomonas sp. (10 th and 20 th days of growth).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25For Chlamydomonas sp., maximum peak area for CH is 0.025 (SD-FTIR) and 80 (SD-Raman).
“While for Chlamydomonas sp. it is 0.025 (SD-FTIR) (Fig.11B) and 80 (SD-Raman) (Fig.11D).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 3.1.3.3. Spectral variance between species and days for NP1 treatment · p. 21The two species are clearly separated, both on the 10th and 20th days of growth, in PC2, which explains 19% of the variance in the data.
“The two species are clearly separated, both on the 10 th and 20 th days of growth, in PC2 (Fig.8A), which explains 19% of the variance in the data.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3.1.3.2. PCA on the SD-Raman to analyse spectral variance between NP treatments · p. 18PC3 loadings indicate contributions at ~1157 cm-1, ~1440 cm-1, ~1515 cm-1, ~2862 cm-1, and ~2950 cm-1 that can be attributed to higher levels in M. contortum compared to Chlamydomonas sp., and intensity at 2820 cm-1 is higher in Chlamydomonas sp.
“Similarly, PC3 loadings (Fig.6B) indicate contributions at ~1157cm -1 (carbohydrates/carotenoids), ~1440 cm -1 (SFA), ~1515 cm -1 (carotenoids), and ~2862 cm -1 , ~2950cm -1 (hydrocarbons) that can be attributed to higher levels in M. contortum compared to Chlamydomonas sp., and intensity at 2820 cm -1 is higher in Chlamydomonas sp.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 3.1.3.1. PCA on the SD-FTIR to analyse spectral variance between NP treatments · p. 17The protein amide bands (~1654, ~1540 cm-1) and the peak at ~1380 cm-1 are lower in NP1 compared to NP4, indicating a reduction in protein content in NP1.
“The protein amide bands (~1654, ~1540 cm -1 ) and the peak at ~1380 cm -1 are lower in NP1 compared to NP4, indicating a reduction in protein content in NP1.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown data§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30The intensity of the ~1740 cm−1 IR band increased on day 20 relative to day 10 in all four NP treatments.
“~ 1740 | | m + | | m + | | m + | | s + |”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based).
Findingown data§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30The intensity of the ~3010 cm−1 IR band increased on day 20 relative to day 10 in all four NP treatments.
“~ 3010 | ~ 3014 | w + | w + | w + | vw + | w + | vw + | w + |”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based).
Findingown data§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30The intensity of the ~2924 cm−1 IR band increased on day 20 relative to day 10 in all four NP treatments.
“~ 2924 | ~ 2912 | s + | vw + | m + | vw + | m + | vw + | s + |”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based). The quote only partly states this claim.
Findingown data§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30The intensity of the ~2850 cm−1 IR band increased on day 20 relative to day 10 in all four NP treatments.
“~ 2846 | ~ 2820 | s + | m + | s + | w + | s + | m + | vs + |”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26The changes in carbohydrates for the various NP treatments were noted in all four graphs of Fig.11.
“The changes in the carbohydrates for the various NP treatments were noted in all the four graphs of Fig.11.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown data§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30The intensity of the ~1266 cm−1 IR band increased on day 20 relative to day 10 in all four NP treatments.
“~ 1266 | ~ 1264 | vw + | w + | vw + | w + | vw + | w + | vw + |”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based). The quote only partly states this claim.
Findingnone given§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30The intensity of the ~1440 cm−1 Raman band increased on day 20 relative to day 10 in all four NP treatments.
“| ~ 1440 | | s + | | s + | | s + |”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based).
Findingown data§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30The intensity of the ~1654 cm−1 IR band increased on day 20 relative to day 10 in all four NP treatments.
“~ 1654 | ~ 1658 | s + | w + | s + | vw + | s + | vw + | m + |”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Findingown data§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30The intensity of the ~1380 cm−1 IR band decreased on day 20 relative to day 10 in all four NP treatments.
“~ 1380 | | vs - | | s - | | m - | | w - |”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based).
Findingnone given§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30The intensity of the ~1658 cm−1 Raman band increased on day 20 relative to day 10 in all four NP treatments.
“~ 1654 | ~ 1658 | s + | w + | s + | vw + | s + | vw + | m + |”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisecitation§ 1. Introduction · p. 3Microalgae are a feasible source of biodiesel due to their ability to accumulate significant amounts of lipids and carbohydrates as energy stores within their cells.
“Microalgae, which are single-celled phytoplankton, have been shown in studies to be a feasible source of biodiesel due to their ability to accumulate significant amounts of lipids and carbohydrates as energy stores within their cells [1 -4].”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [1] [1] Y. Chisti, Biodiesel from microalgae, Biotechnol. Adv. (2007) 294 -306. https://doi.org/10.1016/j.biotechadv.2007.02.001. - source
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- cites [2] [2] L. Gouveia, A.C. Oliveira, Microalgae as a raw material for biofuels production, J. Ind. Microbiol. Biotechnol. 36 (2009) 269 -274. https://doi.org/10.1007/s10295-008-0495-6. - source
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- cites [3] [3] L. Rodolfi, G.C. Zittelli, N. Bassi, G. Padovani, N. Biondi, G. Bonini, M.R. Tredici, Microalgae for oil: Strain selection, induction of lipid synthesis and outdoor mass cultivation in a low-cost photobioreactor, Biotechnol. Bioeng. 102 (2009) 100 -112. https://doi.org/10.1002/bit.22033. - source
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- cites [4] [4] J. Milano, H.C. Ong, H.H. Masjuki, W.T. Chong, M.K. Lam, P.K. Loh, V. Vellayan, Microalgae biofuels as an alternative to fossil fuel for power generation, Renew. Sustain. Energy Rev. 58 (2016). https://doi.org/10.1016/j.rser.2015.12.150. - source
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Premisecitation§ 1. Introduction · p. 3Environmental stress such as temperature, nutrients, and light alters cell physiology.
“Environmental stress such as temperature, nutrients, and light also alter cell physiology [7].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] [7] B.J. Cade-Menun, A. Paytan, Nutrient temperature and light stress alter phosphorus and carbon forms in culture-grown algae, Mar. Chem. 121 (2010) 27 -36. https://doi.org/10.1016/j.marchem.2010.03.002. - source
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Premisecitation§ 1. Introduction · p. 3Raman spectroscopy has value in assessing the degree of unsaturation in lipids.
“Raman spectroscopy has been shown to have value in assessing the degree of unsaturation in lipids [35 -39].”
Quote in the paperNot a substantial claim0 of 5 sources checked- cites [35] [35] O. Samek, A. Jonáš, Z. Pilát, P. Zemánek, L. Nedbal, J. Tríska, P. Kotas, M. Trtílek, Raman microspectroscopy of individual algal cells: Sensing unsaturation of storage lipids in vivo, Sensors. 10 (2010) 8635 -8651. https://doi.org/10.3390/s100908635. - source
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- cites [36] [36] O. Samek, P. Zemánek, A. Jonáš, H.H. Telle, Characterization of oil -producing microalgae using Raman spectroscopy, Laser Phys. Lett. 8 (2011) 701 -709. https://doi.org/10.1002/lapl.201110060. - source
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- cites [37] [37] D. Jaeger, C. Pilger, H. Hachmeister, E. Oberländer, R. Wördenweber, J. Wichmann, J.H. Mussgnug, T. Huser, O. Kruse, Label-free in vivo analysis of intracellular lipid droplets in the oleaginous microalga Monoraphidium neglectum by coherent Raman scattering microscopy, Sci. Rep. 6 (2016) 2 -10. https://doi.org/10.1038/srep35340. - source
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- cites [38] [38] S.K. Sharma, D.R. Nelson, R. Abdrabu, B. Khraiwesh, K. Jij akli, M. Arnoux, M.J. O'Connor, T. Bahmani, H. Cai, S. Khapli, R. Jagannathan, K. Salehi-Ashtiani, An integrative Raman microscopy-based workflow for rapid in situ analysis of microalgal lipid bodies, Biotechnol. Biofuels. 8 (2015) 1 -14. https://doi.org/10.1186/s13068-015-0349-1. - source
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- cites [39] [39] U. Münchberg, L. Wagner, C. Rohrer, K. Voigt, P. Rösch, G. Jahreis, J. Popp, Quantitative assessment of the degree of lipid unsaturation in intact Mortierella by Raman microspectroscopy, Anal. Bioanal. Chem. 407 (2015). https://doi.org/10.1007/s00216-015-8544-2. - source
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Classified as probably not a substantial claim. May combine two claims.
Premisecitation§ 1. Introduction · p. 3FTIR spectroscopy has been used for rapid assessment of lipids without lipid extraction and to monitor changes within intracellular macromolecular pools of microalgae.
“Many of the studies have reported the use of FTIR spectroscopy in the rapid assessment of lipids, without the need for lipid extraction and to monitor the changes within the intracellular macromolecular pools of microalgae [15,20 -23].”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [15] [15] A.M.A. Pistorius, W.J. Degrip, T.A. Egorova-zachernyuk, Monitoring of Biomass Composition From Microbiological Sources by Means of FT-IR Spectroscopy, 103 (2009) 123 -129. https://doi.org/10.1002/bit.22220. -
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- cites [20] [20] K. Stehfest, J. Toepel, C. Wilhelm, The application of micro-FTIR spectroscopy to analyze nutrient stressrelated changes in biomass composition of phytoplankton algae, 43 (2005) 717 -726. https://doi.org/10.1016/j.plaphy.2005.07.001. - source
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- cites [21] [21] Y. Meng, C. Yao, S. Xue, H. Yang, Application of Fourier transform infrared ( FT-IR ) spectroscopy in determination of microalgal compositions, Bioresour. Technol. 151 (2014) 347 -354. https://doi.org/10.1016/j.biortech.2013.10.064. - source
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- cites [22] [22] J. Mayers, K.J. Flynn, R.J. Shields, Rapid determination of bulk microalgal biochemical composition by Fourier-Transform Infrared spectroscopy, (2013). https://doi.org/10.1016/j.biortech.2013.08.133. - source
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- cites [23] [23] C. Esther Elizabeth Grace, P. Kiruthika Lakshmi, S. Meenakshi, S. Vaidyanathan, S. Srisudha, M. Briget Mary, Biomolecular transitions and lipid accumulation in green microalgae monitored by FTIR and Raman analysis, Spectrochim. Acta -Part A Mol. Biomol. Spectrosc. 224 (2020). https://doi.org/10.1016/j.saa.2019.117382. - source
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Classified as probably not a substantial claim. May combine two claims.
Premisecitation§ 1. Introduction · p. 3FTIR with multivariate analysis has been used successfully to classify species and to differentiate the nutritional status of microalgae.
“The application of FTIR to classify species with the help of multivariate analysis [24 -29] and to differentiate the nutritional status of microalgae [30 -34] have been attempted successfully.”
Quote in the paperSubstantial claim0 of 10 sources checked- cites [24] [24] S. Vardy, P. Uwins, Fourier transform infrared microspectroscopy as a tool to differentiate Nitzschia closterium and Nitzschia longissima, Appl. Spectrosc. 56 (2002) 1545 -1548. https://doi.org/10.1366/000370202321115788. - source
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- cites [25] [25] M. Giordano, B. Wood, P. Heraud, M. Kansiz, J. Beardall, D. McNaughton, Fourier transform infrared spectroscopy as a novel tool to investigate changes in intracellular macromolecular pools in the marine microalga Chaetoceros muellerii (Bacillariophyceae), J. Phycol. 37 (2001) 271 -279. https://doi.org/10.1046/j.1529-8817.2001.037002271.x. - source
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- cites [26] [26] M. Kansiz, P. Heraud, B. Wood, F. Burden, J. Beardall, D. McNaughton, Fourier transform infrared microspectroscopy and chemometrics as a tool for the discrimination of cyanobacterial strains, Phytochemistry. 52 (1999) 407 -417. https://doi.org/10.1016/S0031-9422(99)00212-5. - source
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- cites [27] [27] G.P. De Moraes, A.A.H. Vieira, Fourier transform infrared with attenuated total reflectance applied to the discrimination of freshwater planktonic coccoid green microalgae, PLoS One. 9 (2014) 1 -21. https://doi.org/10.1371/journal.pone.0114458. - source
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- cites [28] [28] L.M.L. Laurens, E.J. Wolfrum, Feasibility of Spec troscopic Characterization of Algal Lipids : Chemometric Correlation of NIR and FTIR Spectra with Exogenous Lipids in Algal Biomass, (2011) 22 -35. https://doi.org/10.1007/s12155-010-9098-y. -
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- cites [29] [29] F. Vogt, L. White, Spectroscopic analyses of chemical adaptation processes within microalgal biomass in response to changing environments, Anal. Chim. Acta. 867 (2015) 18 -28. https://doi.org/10.1016/j.aca.2015.02.005. - source
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- cites [30] [30] A.P. Dean, M.C. Martin, D.C. Sigee, Resolution of codominant phytoplankton species in a eutrophic lake using synchrotron-based Fourier transform infrared spectroscopy, Phycologia. 46 (2007) 151 -159. https://doi.org/10.2216/06-27.1. - source
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- cites [31] [31] C.J. Hirschmugl, Z. El Bayarri, M. Bunta, J.B. Holt, M. Giordano, Analysis of the nutritional status of algae by Fourier transform infrared chemical imaging, Infrared Phys. Technol. 49 (2006) 57 -63. https://doi.org/10.1016/j.infrared.2006.01.032. - source
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- cites [32] [32] P. Heraud, S. Stojkovic, J. Beardall, D. McNaughton, B.R. Wood, Intercolonial variability in macromolecular composition in P-starved and P-replete Scenedesmus populations revealed by infrared microspectroscopy, J. Phycol. 44 (2008) 1335 -1339. https://doi.org/10.1111/j.1529-8817.2008.00564.x. - source
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- cites [33] [33] A.P. Dean, D.C. Sigee, Molecular heterogeneity in Aphanizomenon flos-aquae and Anabaena flos-aquae - (Cyanophyta): A synchrotron-based Fourier-transform infrared study of lake micropopulations, Eur. J. Phycol. 41 (2006) 201 -212. https://doi.org/10.1080/09670260600645907. - source
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Premisecitation§ 1. Introduction · p. 4In second derivative spectra, the wavelength at which the absorbance peak (IR)/scattering intensity (Raman) is at its maximum in the normal spectrum is also at its maximum in the second derivative spectrum, but in the negative direction.
“SD spectroscopy allows easy analysis of the spectral peaks, as the wavelength at which the absorbance peak (IR)/scattering intensity (Raman) is at its maximum in the normal spectrum (Zero-order) is also at its maximum in the second derivative spectrum, but in the negative direction [45].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [45] [45] H. Mark, J.W. Jr, J.W. Jr, Derivatives in Spectroscopy, 18 (2003). - source
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Premisecitation§ 1. Introduction · p. 3Raman spectroscopy has been used to assess physiological responses and growth phases of different microalgae.
“Its use in assessing the physiological responses and growth phases of different microalgae has also been demonstrated [40].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40] [40] S. He, S. Fang, W. Xie, P. Zhang, Z. Li, D. Zhou, Z. Zhang, J. Guo, C. Du, J. Du, D. Wang, Assessment of physiological responses and growth phases of different microalgae under environmental changes by Raman spectroscopy with chemometrics, Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 204 (2018) 287 -294. https://doi.org/10.1016/j.saa.2018.06.060. - source
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Premisecitation§ 1. Introduction · p. 4Second derivative spectroscopy provides automatic baseline correction and spectral resolution enhancement.
“In this regard, transforming the spectra to second derivatives (SD) has been made possible with derivative spectroscopy as this provides automatic baseline correction and spectral resolution enhancement [43,44].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [43] [43] M.J. Pelletier, Quantitative Analysis Using Raman Spectrometry, Appl. Spectrosc. 57 (2003) 20A-42A. https://doi.org/10.1366/000370203321165133. - source
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- cites [44] [44] Michael R. Whitbeck, Second Derivative Infrared Spectroscopy, Appl. Spectrosc. 35 (1981). - source
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Premisecitation§ 3.1.1. Effect of nutrient variation on Lipids · p. 12Hydrocarbons are the long-chain backbones of the fatty acids of lipids.
“Hydrocarbons are the long-chain backbones of the fatty acids of lipids [56,57].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [56] [56] P. Kumari, M. Kumar, C.R.K. Reddy, B. Jha, Algal lipids, fatty acids and sterols, 2013. https://doi.org/10.1533/9780857098689.1.87. - source
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- cites [57] [57] M. Baba, Y. Shiraiwa, Biosynthesis of Lipids and Hydrocarbons in Algae, (2013). - source
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Premisecitation§ 3.1.1. Effect of nutrient variation on Lipids · p. 13Nearly 80% of the TAGs are saturated and monounsaturated fatty acids.
“Studies have shown that nearly 80% of the TAGs are saturated (SFA) and monounsaturated fatty acids (MUFA)[3,52,61,62], and their vibration can be attributed to the carbonyl stretches of esters in the fatty acids at ~1740 cm -1 .”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [3] [3] L. Rodolfi, G.C. Zittelli, N. Bassi, G. Padovani, N. Biondi, G. Bonini, M.R. Tredici, Microalgae for oil: Strain selection, induction of lipid synthesis and outdoor mass cultivation in a low-cost photobioreactor, Biotechnol. Bioeng. 102 (2009) 100 -112. https://doi.org/10.1002/bit.22033. - source
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- cites [52] [52] B.H. Stuart, Infrared Spectroscopy: Fundamentals and Applications, John Wiley & Sons, Ltd, Chichester, UK, 2004. https://doi.org/10.1002/0470011149. - source
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- cites [61] [61] R. Miglio, S. Palmery, M. Salvalaggio, L. Carnelli, F. Capuano, R. Borrelli, Microalgae triacylglycerols content by FT-IR spectroscopy, (2013) 1621 -1631. https://doi.org/10.1007/s10811-013-0007-6. - source
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- cites [62] [62] K. Zienkiewicz, Z.Y. Du, W. Ma, K. Vollheyde, C. Benning, Stress-induced neutral lipid biosynthesis in microalgae -Molecular, cellular and physiological insights, Biochim. Biophys. Acta - Mol. Cell Biol. Lipids. 1861 (2016). https://doi.org/10.1016/j.bbalip.2016.02.008. - source
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Premisecitation§ 3.1.2 Effect of nutrient variation on other biomolecules · p. 15Nutrient deprivation can increase carotenoid production.
“Although studies have shown that nutrient deprivation can increase carotenoid production [66,67], it is also known that the primary carotenoids which are associated with growth are degraded under stress [68,69].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [66] [66] J.F. Sánchez, J.M. Fernández, F.G. Acién, A. Rueda, J. Pérez-Parra, E. Molina, Influence of culture conditions on the productivity and lutein content of the new strain Scenedesmus almeriensis, Process Biochem. 43 (2008) 398 -405. https://doi.org/10.1016/j.procbio.2008.01.004. - source
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- cites [67] [67] K. Phadwal, P.K. Singh, Effect of nutrient depletion on β -carotene and glycerol accumulation in two strains of Dunaliella sp., Bioresour. Technol. 90 (2003) 55 -58. https://doi.org/10.1016/S09608524(03)00090-7. - source
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Premisecitation§ 3.1. Qualitative assessment of algal biomass spectra at varying NP treatments · p. 7The pattern of spectra and bands present in M. contortum and Chlamydomonas sp. conform to the spectra of green microalgae.
“The pattern of the spectra and the bands present in the two species conform to the spectra of the green microalgae [18,23,53,55].”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [18] [18] P. Heraud, J. Beardall, D. McNaughton, B.R. Wood, In vivo prediction of the nutrient status of individual microalgal cells using Raman microspectroscopy, FEMS Microbiol. Lett. 275 (2007) 24 -30. https://doi.org/10.1111/j.1574-6968.2007.00861.x. - source
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- cites [23] [23] C. Esther Elizabeth Grace, P. Kiruthika Lakshmi, S. Meenakshi, S. Vaidyanathan, S. Srisudha, M. Briget Mary, Biomolecular transitions and lipid accumulation in green microalgae monitored by FTIR and Raman analysis, Spectrochim. Acta -Part A Mol. Biomol. Spectrosc. 224 (2020). https://doi.org/10.1016/j.saa.2019.117382. - source
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- cites [53] [53] J.N. Murdock, D.L. Wetzel, FT-IR Microspectroscopy Enhances Biological and Ecological Analysis of Algae, Appl. Spectrosc. Rev. 44 (2009) 335 -361. https://doi.org/10.1080/05704920902907440. - source
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- cites [55] [55] A. Holzenburg, S. Vitha, J. Laane, T.P. Devarenne, T.L. Weiss, H.J. Chun, S. Okada, Raman Spectroscopy Analysis of Botryococcene Hydrocarbons from the Green Microalga Botryococcus braunii , J. Biol. Chem. 285 (2010) 32458 -32466. https://doi.org/10.1074/jbc.m110.157230. - source
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Interpretationreasoning§ 3.1.1. Effect of nutrient variation on Lipids · p. 12The increase in CH intensity for NP4 is not just attributable to lipids, but could also be due to proteins, as evidenced by the significant increase in intensity of the peak at ~1380 cm-1 (δsCH3) exclusively for NP4.
“This suggests that an increase in CH intensity for NP4 is not just attributable to lipids, but could also be due to proteins, as evidenced by the significant increase in the intensity of the peak at ~1380 cm -1 (δ sCH3) exclusively for the replete treatment (NP4) (Fig. 1A and B).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationcitation§ 3.1.1. Effect of nutrient variation on Lipids · p. 12The microalgae cells experienced nutritional stress as a result of low nitrate and phosphate contents, which increased the content of hydrocarbons.
“This implies that the microalgae cells have experienced nutritional stress as a result of the low nitrate and phosphate contents, which have increased the content of hydrocarbons [9,20].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [9] [9] A.P. Dean, D.C. Sigee, B. Estrada, J.K. Pittman, Using FTIR spectroscopy for rapid determination of lipid accumulation in response to nitrogen limitation in freshwater microalgae, Bioresour. Technol. 101 (2010) 4499 -4507. https://doi.org/10.1016/j.biortech.2010.01.065. - source
Not checked in the free run.
- cites [20] [20] K. Stehfest, J. Toepel, C. Wilhelm, The application of micro-FTIR spectroscopy to analyze nutrient stressrelated changes in biomass composition of phytoplankton algae, 43 (2005) 717 -726. https://doi.org/10.1016/j.plaphy.2005.07.001. - source
Not checked in the free run.
May combine two claims.
Interpretationown data§ 3.1.2 Effect of nutrient variation on other biomolecules · p. 14As nutrients are depleted, the amount of proteins in microalgae cells reduces, which alters the cell metabolism to accumulate more carbohydrates (1200-1000 cm-1) and lipids in the form of TAGs (~1740 cm-1).
“This indicates that as nutrients are depleted, the amount of proteins in microalgae cells reduces, which alters the cell metabolism to accumulate more carbohydrates (1200-1000 cm -1 ) and lipids in the form of TAGs (~1740 cm -1 )[11,14,31].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [11] [11] A.P. Dean, J.M. Nicholson, D.C. Sigee, Impact of phosphorus quota and growth phase on carbon allocation in Chlamydomonas reinhardtii: An FTIR microspectroscopy study, Eur. J. Phycol. 43 (2008) 345 -354. https://doi.org/10.1080/09670260801979287. - source
Not checked in the free run.
- cites [14] [14] T. Driver, A.K. Bajhaiya, J.W. Allwood, R. Goodacre, J.K. Pittman, A.P. Dean, Metabolic responses of eukaryotic microalgae to environmental stress limit the ability of FT-IR spectroscopy for species identi fi cation, 11 (2015) 148 -155. https://doi.org/10.1016/j.algal.2015.06.009. - source
Not checked in the free run.
- cites [31] [31] C.J. Hirschmugl, Z. El Bayarri, M. Bunta, J.B. Holt, M. Giordano, Analysis of the nutritional status of algae by Fourier transform infrared chemical imaging, Infrared Phys. Technol. 49 (2006) 57 -63. https://doi.org/10.1016/j.infrared.2006.01.032. - source
Not checked in the free run.
May combine two claims.
Interpretationown data§ 3.1.3.3. Spectral variance between species and days for NP1 treatment · p. 21There is a higher accumulation of carbohydrates, saturated fatty acids, and hydrocarbons for M. contortum.
“Thus indicating a higher accumulation of carbohydrates, saturated fatty acids, and hydrocarbons for M.contortum .”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 22Earlier studies on the same two species grown in batch cultures have shown a two to threefold increase in hydrocarbons and a six to sevenfold increase in TAGs during the declining phase (40th day of growth) of the cells.
“have shown a two to threefold increase in hydrocarbons and a six to sevenfold increase in TAGs during the declining phase (40 th day of growth) of the cells [23].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [23] [23] C. Esther Elizabeth Grace, P. Kiruthika Lakshmi, S. Meenakshi, S. Vaidyanathan, S. Srisudha, M. Briget Mary, Biomolecular transitions and lipid accumulation in green microalgae monitored by FTIR and Raman analysis, Spectrochim. Acta -Part A Mol. Biomol. Spectrosc. 224 (2020). https://doi.org/10.1016/j.saa.2019.117382. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 22Increased accumulation of lipids from 0.2 to 1.2, a sixfold increase on its 35th day of growth, has been reported for Chlamydomonas reinhardtii subjected to low phosphorus treatment.
“Increased accumulation of lipids from 0.2 to 1.2 that amounts to a sixfold increase on its 35 th day of growth has been reported for Chlamydomonas reinhardtii , subjected to low phosphorus treatment [11]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] [11] A.P. Dean, J.M. Nicholson, D.C. Sigee, Impact of phosphorus quota and growth phase on carbon allocation in Chlamydomonas reinhardtii: An FTIR microspectroscopy study, Eur. J. Phycol. 43 (2008) 345 -354. https://doi.org/10.1080/09670260801979287. - source
Not checked in the free run.
May combine two claims.
Premisecitation§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 22Primary carotenoids are growth coupled metabolites that can degrade under nutrient stress.
“As known, that primary carotenoids are growth coupled metabolites that can degrade under nutrient stress [68].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [68] [68] T.Q. Shi, L.R. Wang, Z.X. Zhang, X.M. Sun, H. Huang, Stresses as First-Line Tools for Enhancing Lipid and Carotenoid Production in Microalgae, Front. Bioeng. Biotechnol. 8 (2020) 1 -9. https://doi.org/10.3389/fbioe.2020.00610. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 22Nearly a fivefold increase on the 29th day of sampling has been reported under nitrogen deprivation.
“and nearly a fivefold increase on the 29 th day of sampling, under nitrogen deprivation [9].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] [9] A.P. Dean, D.C. Sigee, B. Estrada, J.K. Pittman, Using FTIR spectroscopy for rapid determination of lipid accumulation in response to nitrogen limitation in freshwater microalgae, Bioresour. Technol. 101 (2010) 4499 -4507. https://doi.org/10.1016/j.biortech.2010.01.065. - source
Not checked in the free run.
May combine two claims.
Interpretationown data§ 4. Conclusion · p. 27Both microalgae species respond to nutritional stress (NP1) by a higher accumulation of lipids, particularly neutral lipids, which indicate the suitability of these species for biodiesel application, as well as lipid production in general.
“Both microalgae species are shown to respond to nutritional stress (NP1) by a higher accumulation of lipids, particularly neutral lipids which indicate the suitability of these species for biodiesel application, as well as lipid production, in general.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationcitation§ 3.1.3.1. PCA on the SD-FTIR to analyse spectral variance between NP treatments · p. 17PC3 shows a slightly negative peak in the loadings plot at 1380 cm-1, which may be indicative of some contribution from lipids in this region.
“It can be noted that PC3 shows a slightly negative peak in the loadings plot at 1380 cm -1 , which may be indicative of the fact that there is some contribution from lipids in this region [53].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [53] [53] J.N. Murdock, D.L. Wetzel, FT-IR Microspectroscopy Enhances Biological and Ecological Analysis of Algae, Appl. Spectrosc. Rev. 44 (2009) 335 -361. https://doi.org/10.1080/05704920902907440. -
Not checked in the free run.
May combine two claims.
Interpretationown data§ 3.1.3.2. PCA on the SD-Raman to analyse spectral variance between NP treatments · p. 18Carbohydrates, saturated fatty acids, and hydrocarbons are high for NP1 treatment.
“This indicates that carbohydrates, saturated fatty acids, and hydrocarbons are high for NP1 treatment.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown data§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25An increase in CH intensity for NP4 may have a contribution from protein and carotenoids for M. contortum, with higher carotenoid accumulation than Chlamydomonas sp.
“An increase in CH intensity for NP4 may have a contribution from protein and carotenoids as discussed in Section 3.1.1 is obvious for M.contortum (Fig. 11A and C) with a higher accumulation of carotenoid (Fig.11C) than Chlamydomonas sp.(Fig.11 D).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims. The quote only partly states this claim.
Study design and conductnone given§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25This investigation ensured that sample quantity and analysis conditions were the same for all analyses.
“This was ensured in this investigation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ Table 2: Band assignments of Second derivative FTIR and Raman spectra of M.contortum on their 10 th and 20 th day of growth for various NP treatments · p. 30The ~2924 cm−1 IR band is assigned to (CH2) asymmetric stretches from hydrocarbons.
“~ 2924 | ~ 2912 | s + | vw + | m + | vw + | m + | vw + | s + |”
Quote in the paperNot a substantial claim0 of 5 sources checked- cites [9] [9] A.P. Dean, D.C. Sigee, B. Estrada, J.K. Pittman, Using FTIR spectroscopy for rapid determination of lipid accumulation in response to nitrogen limitation in freshwater microalgae, Bioresour. Technol. 101 (2010) 4499 -4507. https://doi.org/10.1016/j.biortech.2010.01.065. - source
Not checked in the free run.
- cites [20] [20] K. Stehfest, J. Toepel, C. Wilhelm, The application of micro-FTIR spectroscopy to analyze nutrient stressrelated changes in biomass composition of phytoplankton algae, 43 (2005) 717 -726. https://doi.org/10.1016/j.plaphy.2005.07.001. - source
Not checked in the free run.
- cites [52] [52] B.H. Stuart, Infrared Spectroscopy: Fundamentals and Applications, John Wiley & Sons, Ltd, Chichester, UK, 2004. https://doi.org/10.1002/0470011149. - source
Not checked in the free run.
- cites [53] [53] J.N. Murdock, D.L. Wetzel, FT-IR Microspectroscopy Enhances Biological and Ecological Analysis of Algae, Appl. Spectrosc. Rev. 44 (2009) 335 -361. https://doi.org/10.1080/05704920902907440. - source
Not checked in the free run.
- cites [54] [54] P. Larkin, Infrared and Raman spectroscopy: Principles and Spectral Interpretation, 1st Editio, Elsevier, 2011. - http://www.chemistry.uoc.gr/lapkin/Infrared\_and\_Raman\_Spectroscopy\_\_Principles\_and\_Spectral\_Inte rpretation.pdf. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26Studies have shown that primary carotenoids coupled with growth metabolites degrade with stress, while secondary carotenoids increase with lipid accumulation under stress.
“Studies have shown that primary carotenoids that are coupled with growth metabolites degrade with stress, on the other hand, secondary carotenoids increase with lipid accumulation under stress [68,70].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [68] [68] T.Q. Shi, L.R. Wang, Z.X. Zhang, X.M. Sun, H. Huang, Stresses as First-Line Tools for Enhancing Lipid and Carotenoid Production in Microalgae, Front. Bioeng. Biotechnol. 8 (2020) 1 -9. https://doi.org/10.3389/fbioe.2020.00610. - source
Not checked in the free run.
- cites [70] [70] E.B. D'Alessandro, N.R. Antoniosi Filho, Concepts and studies on lipid and pigments of microalgae: A review, Renew. Sustain. Energy Rev. 58 (2016) 832 -841. https://doi.org/10.1016/j.rser.2015.12.162. source
Not checked in the free run.
May combine two claims.
Interpretationnone given§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25The second derivatives normalize the spectra and auto correct the baseline.
“Therefore, the second derivatives normalize the spectra and auto correct the baseline.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25The peak area (negative maximum) in sq. units is directly proportional to the concentration, which can be taken as the absolute content.
“The peak area (negative maximum) in sq. units itself will be directly proportional to the concentration, which can be taken as the absolute content [23,44,47].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [23] [23] C. Esther Elizabeth Grace, P. Kiruthika Lakshmi, S. Meenakshi, S. Vaidyanathan, S. Srisudha, M. Briget Mary, Biomolecular transitions and lipid accumulation in green microalgae monitored by FTIR and Raman analysis, Spectrochim. Acta -Part A Mol. Biomol. Spectrosc. 224 (2020). https://doi.org/10.1016/j.saa.2019.117382. - source
Not checked in the free run.
- cites [44] [44] Michael R. Whitbeck, Second Derivative Infrared Spectroscopy, Appl. Spectrosc. 35 (1981). - source
Not checked in the free run.
- cites [47] [47] D. Ami, R. Posteri, P. Mereghetti, D. Porro, S.M. Doglia, P. Branduardi, Fourier transform infrared spectroscopy as a method to study lipid accumulation in oleaginous yeasts, Biotechnol. Biofuels. 7 (2014) 1 -14. https://doi.org/10.1186/1754-6834-7-12. -
Not checked in the free run.
The paper relies on this without support.
Responses of microalgae to limiting nutrients are species-specific.
“Researchers have found that the responses of microalgae to limiting nutrients are also species-specific.”
The paper relies on this without support.
Fewer studies have explored the utility of FTIR and Raman in tracking physiological responses to changes in the nutritional status of microalgae.
“Fewer studies have explored the utility of FTIR and Raman in tracking physiological responses to changes in the nutritional status of microalgae.”
The paper relies on this without support.
More reliable quantitative measures with predictive capacity require reproducible capture of relevant spectral changes with minimal interference from background noise.
“More reliable quantitative measures with predictive capacity require reproducible capture of relevant spectral changes with minimal interference from background noise.”
The paper relies on this without support.
The negative values in second derivative spectra indicate the actual peak in the SD spectra.
“The integrated peak area was computed by summing the intensities of the peak /region of interest with the negative values of the second derivative spectra, as the negative values indicate the actual peak in the SD spectra.”
The paper relies on this without support.
Raman signals are weak for carbonyl peaks.
“Raman signals are weak for carbonyl peaks and hence TAGs were not observed in Raman spectra.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Analysing FTIR spectra enables determination of lipid accumulation in microalgae cells, which is crucial for biofuel production research.
“Analysing FTIR spectra enables the determination of lipid accumulation in microalgae cells, which is crucial for biofuel production research [228].”
From Multi-Sensing Monitoring of the Microalgae Biomass Cultivation Systems for Biofuels and Added Value Products Synthesis—Challenges and Opportunities (2025) · cites this paper as [228]
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- Authors
- Esther Elizabeth Grace, C., Briget Mary, M., Vaidyanathan, S., & Srisudha, S.
- Affiliations
- University of Sheffield (GB)
- Lady Doak College (IN)
- Venue
- Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
- Publisher
- Elsevier BV
- Published
- 2022-04
- Volume
- 270
- Pages
- 120830
- ISSN
- 1386-1425 (ISSN-L)
- OpenAlex
- W4200597914
- Semantic Scholar
- 610d93aa5b40c703e5bef9f146fb21b6383abec1
- Cited by
- 21
- References
- 63
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 7 · 2023: 3 · 2022: 3
- FWCI
- 0.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (publishedVersion)
- PubMed (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- Funders
- Biotechnology and Biological Sciences Research Council
- Department of Biotechnology, Ministry of Science and Technology, India
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Keywords
- green microalgae, lipid productivity, Monoraphidium contortum, Chlamydomonas, nutrient depletion, nitrate limitation, phosphate limitation, triglycerides, hydrocarbons, fatty acid composition, Raman spectroscopy
- MeSH terms
- Nutrients, Fatty Acids, Lipids, Spectrum Analysis, Raman, Spectroscopy, Fourier Transform Infrared, Biomass, Biofuels, Microalgae
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