Cited by 21Algal biology and biofuel productionSpectroscopy and Chemometric AnalysesSpectroscopy Techniques in Biomedical and Chemical Research

Response to nutrient variation on lipid productivity in green microalgae captured using second derivative FTIR and Raman spectroscopy

Esther Elizabeth Grace, C., Briget Mary, M., Vaidyanathan, Seetharaman, Srisudha, S.·2022·Spectrochimica Acta Part A: Molecular and Biomolecular 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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Written from the paper’s full text.

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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Integrity signals

Registry

Crossref · 10.1016/j.saa.2021.120830

Cites

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Claims the paper makes

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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
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    § 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
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    § 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
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    § 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
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    § ABSTRACT · p. 2

    PCA 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 claim
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    § ABSTRACT · p. 2

    SD 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 claim
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    § ABSTRACT · p. 2

    Relative 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 claim
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    § 3.1.1. Effect of nutrient variation on Lipids · p. 12

    An 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 claim
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    § 3.1.2 Effect of nutrient variation on other biomolecules · p. 15

    A 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 claim
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    § 3.1.1. Effect of nutrient variation on Lipids · p. 13

    The 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 claim
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    § 3.1.1. Effect of nutrient variation on Lipids · p. 14

    Raman 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.
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    § 3.1. Qualitative assessment of algal biomass spectra at varying NP treatments · p. 7

    Biomolecular 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

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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

      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.

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    § 3.1.1. Effect of nutrient variation on Lipids · p. 14

    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.

    “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 claim
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    Findingcitation
    § 3.1.2 Effect of nutrient variation on other biomolecules · p. 15

    A 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. -

      Not checked in the free run.

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    § 3.1.1. Effect of nutrient variation on Lipids · p. 13

    An 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 claim
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    § 3.1.1. Effect of nutrient variation on Lipids · p. 12

    The 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 claim
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    § 3.1.3.3. Spectral variance between species and days for NP1 treatment · p. 21

    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.

    “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 claim
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    § 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 22

    M. 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 claim
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    § 3.1.3.1. PCA on the SD-FTIR to analyse spectral variance between NP treatments · p. 17

    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 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 claim
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    Findingreasoning
    § 3.1.3.1. PCA on the SD-FTIR to analyse spectral variance between NP treatments · p. 17

    PCA 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 claim
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    § 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 22

    In 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 claim
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    § 3.1.3.3. Spectral variance between species and days for NP1 treatment · p. 18

    Although 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 claim
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    § 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 23

    M. 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 claim
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    § 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 27

    Both 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 claim
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    § 3.1.3.3. Spectral variance between species and days for NP1 treatment · p. 19

    PC3 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

      Not checked in the free run.

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    § 3.1.3.2. PCA on the SD-Raman to analyse spectral variance between NP treatments · p. 18

    The 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 claim
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    § 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26

    The 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 claim
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    § 3.1.3.1. PCA on the SD-FTIR to analyse spectral variance between NP treatments · p. 17

    PC1 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 claim
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    § 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 23

    Unsaturation 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 claim
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    § 3.1.3.3. Spectral variance between species and days for NP1 treatment · p. 21

    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.

    “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 claim
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    § 3.2.1. Relative contents of lipids and carbohydrates for the microalgae species grown under the four NP treatments · p. 23

    The 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 claim
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    § 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 26

    M. 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 claim
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    § 3.1.3.2. PCA on the SD-Raman to analyse spectral variance between NP treatments · p. 18

    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.

    “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 claim
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    § 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 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 claim
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    § 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25

    For 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 claim
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    § 3.1.3.3. Spectral variance between species and days for NP1 treatment · p. 21

    The 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 claim
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    Findingown data
    § 3.1.3.2. PCA on the SD-Raman to analyse spectral variance between NP treatments · p. 18

    PC3 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 claim
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    § 3.1.3.1. PCA on the SD-FTIR to analyse spectral variance between NP treatments · p. 17

    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.

    “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 claim
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    § 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 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 claim
  • Probably 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. 30

    The 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 claim
  • Probably 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. 30

    The 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 claim
  • Probably 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. 30

    The 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 claim
  • Probably 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. 26

    The 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 claim
  • Probably 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. 30

    The 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 claim
  • Probably 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. 30

    The 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 claim
  • Probably 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. 30

    The 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 claim
  • Probably 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. 30

    The 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 claim
  • Probably 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. 30

    The 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 claim
  • Classified as probably not a substantial claim.

    Premisecitation
    § 1. Introduction · p. 3

    Microalgae 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

      Not checked in the free run.

    • 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

      Not checked in the free run.

    • 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

      Not checked in the free run.

    • 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

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Premisecitation
    § 1. Introduction · p. 3

    Environmental 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

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 1. Introduction · p. 3

    Raman 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

      Not checked in the free run.

    • 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 [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

      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 [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

      Not checked in the free run.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation
    § 1. Introduction · p. 3

    FTIR 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. -

      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 [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

      Not checked in the free run.

    • 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

      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.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation
    § 1. Introduction · p. 3

    FTIR 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

      Not checked in the free run.

    • 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

      Not checked in the free run.

    • 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

      Not checked in the free run.

    • 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

      Not checked in the free run.

    • 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. -

      Not checked in the free run.

    • 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

      Not checked in the free run.

    • 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

      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.

    • 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

      Not checked in the free run.

    • 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

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Premisecitation
    § 1. Introduction · p. 4

    In 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

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 1. Introduction · p. 3

    Raman 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

      Not checked in the free run.

  • May combine two claims.

    Premisecitation
    § 1. Introduction · p. 4

    Second 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

      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.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 3.1.1. Effect of nutrient variation on Lipids · p. 12

    Hydrocarbons 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

      Not checked in the free run.

    • cites [57] [57] M. Baba, Y. Shiraiwa, Biosynthesis of Lipids and Hydrocarbons in Algae, (2013). - source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 3.1.1. Effect of nutrient variation on Lipids · p. 13

    Nearly 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

      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 [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

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    Premisecitation
    § 3.1.2 Effect of nutrient variation on other biomolecules · p. 15

    Nutrient 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

      Not checked in the free run.

    • 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

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 3.1. Qualitative assessment of algal biomass spectra at varying NP treatments · p. 7

    The 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

      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 [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 [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

      Not checked in the free run.

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    Interpretationreasoning
    § 3.1.1. Effect of nutrient variation on Lipids · p. 12

    The 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 claim
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    Interpretationcitation
    § 3.1.1. Effect of nutrient variation on Lipids · p. 12

    The 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. 14

    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).

    “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. 21

    There 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 claim
  • 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. 22

    Earlier 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. 22

    Increased 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. 22

    Primary 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. 22

    Nearly 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. 27

    Both 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 claim
  • May combine two claims.

    Interpretationcitation
    § 3.1.3.1. PCA on the SD-FTIR to analyse spectral variance between NP treatments · p. 17

    PC3 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. 18

    Carbohydrates, 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 claim
  • May combine two claims.

    Interpretationown data
    § 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25

    An 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 claim
  • Probably 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. 25

    This 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 claim
  • Probably 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. 30

    The ~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. 26

    Studies 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. 25

    The 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 claim
  • May combine two claims.

    Premisecitation
    § 3.2.2. Changes in the absolute peak areas for the four NP treatments · p. 25

    The 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.

73 of 73
  • 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.”
5 of 5

Claims other papers make about this one

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Cites

Flagged first, then by citations

Research works printed but not linked: 4

  1. Pistorius, 2009, Monitoring of Biomass Composition From Microbiological Sources by Means of FT-IR, Spectroscopy, 103, 123
  2. Stehfest, 2005, The application of micro-FTIR spectroscopy to analyze nutrient stress-related changes in biomass composition of phytoplankton algae, Plant Physiol. Biochem., 43, 717, 10.1016/j.plaphy.2005.07.001 · DOI · Paper page
  3. Redfield, 1958, Redfield_AmSci_1958.pdf, Am. Sci.
  4. 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_Interpretation.pdf.

Cited by

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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
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
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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-07.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-07.

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