Spectroscopic analyses of chemical adaptation processes within microalgal biomass in response to changing environments
Abstract
Via photosynthesis, marine phytoplankton transforms large quantities of inorganic compounds into biomass. This has considerable environmental impacts as microalgae contribute for instance to counter-balancing anthropogenic releases of the greenhouse gas CO2. On the other hand, high concentrations of nitrogen compounds in an ecosystem can lead to harmful algae blooms. In previous investigations it was found that the chemical composition of microalgal biomass is strongly dependent on the nutrient availability. Therefore, it is expected that algae's sequestration capabilities and productivity are also determined by the cells' chemical environments. For investigating this hypothesis, novel analytical methodologies are required which are capable of monitoring live cells exposed to chemically shifting environments followed by chemometric modeling of their chemical adaptation dynamics. FTIR-ATR experiments have been developed for acquiring spectroscopic time series of live Dunaliella parva cultures adapting to different nutrient situations. Comparing experimental data from acclimated cultures to those exposed to a chemically shifted nutrient situation reveals insights in which analyte groups participate in modifications of microalgal biomass and on what time scales. For a chemometric description of these processes, a data model has been deduced which explains the chemical adaptation dynamics explicitly rather than empirically. First results show that this approach is feasible and derives information about the chemical biomass adaptations. Future investigations will utilize these instrumental and chemometric methodologies for quantitative investigations of the relation between chemical environments and microalgal sequestration capabilities.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Vogt and White have been developing a Horizontal ATR-FTIR system to monitor chemical composition of Dunaliela Parva, which may be applied either on-line/in-line.
“Similarly, As recent as 2015, Vogt and White [62] have been developing a Horizontal ATRFTIR system to monitor chemical composition of Dunaliela Parva , which may be applied either on-line/in-line.”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [62]
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.”
From Response to nutrient variation on lipid productivity in green microalgae captured using second derivative FTIR and Raman spectroscopy (2022) · cites this paper as [29]
Cites
Ordinary Differential Equations
Stewart, J. M. (2017) · Cambridge University Press eBooks · doi:10.1017/9781108120241.010 · Cited by 7,299 · see citing works
Primary production of the biosphere: Integrating terrestrial and oceanic components
Field, C. B., Behrenfeld, M. J., Randerson, J. T., & Falkowski, P. (1998) · Science · doi:10.1126/science.281.5374.237 · Cited by 6,371 · see citing works
Climate-driven trends in contemporary ocean productivity
Behrenfeld, M. J., O’Malley, R. T., Siegel, D. A., McClain, C. R., Sarmiento, J. L., Feldman, G. C., Milligan, A. J., Falkowski, P. G., Letelier, R. M., & Boss, E. S. (2006) · Nature · doi:10.1038/nature05317 · Cited by 2,485 · see citing works
Giordano, M., Beardall, J., & Raven, J. A. (2005) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.56.032604.144052 · Cited by 1,507 · see citing works
Climate change and marine plankton
Hays, G. C., Richardson, A. J., & Robinson, C. (2005) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2005.03.004 · Cited by 1,248 · see citing works
Microbial contributions to climate change through carbon cycle feedbacks
Bardgett, R. D., Freeman, C., & Ostle, N. (2008) · The ISME Journal · doi:10.1038/ismej.2008.58 · Cited by 1,170 · see citing works
Saturation of the Southern Ocean CO 2 Sink Due to Recent Climate Change
Quéré, C. L., Rödenbeck, C., Buitenhuis, E. T., Conway, T. J., Langenfelds, R. L., Gomez, A. J., Labuschagne, C. J., Ramonet, M., Nakazawa, T., Metzl, N., et al. (2007) · Science · doi:10.1126/science.1136188 · Cited by 908 · see citing works
Rapid growth in CO2 emissions after the 2008–2009 global financial crisis
Peters, G. P., Marland, G., Quéré, C. L., Boden, T. A., Canadell, J. G., & Raupach, M. (2011) · Nature Climate Change · doi:10.1038/nclimate1332 · Cited by 871 · see citing works
Microbial mediation of carbon-cycle feedbacks to climate warming
Zhou, J. Z., Xue, K., Xie, J., Deng, Y., Wu, L., Cheng, X., Fei, S., Deng, S., He, Z., Nostrand, J. D. V., et al. (2011) · Nature Climate Change · doi:10.1038/nclimate1331 · Cited by 657 · see citing works
Berges, J. A., Franklin, D. J., & Harrison, P. J. H. (2001) · Journal of Phycology · doi:10.1046/j.1529-8817.2001.01052.x · Cited by 594 · see citing works
Eby, M., Zickfeld, K., Montenegro, Á., Archer, D. E., Meißner, K. J., & Weaver, A. J. (2008) · Journal of Climate · doi:10.1175/2008jcli2554.1 · Cited by 381 · see citing works
Stehfest, K., Toepel, J., & Wilhelm, C. (2005) · Plant Physiology and Biochemistry · doi:10.1016/j.plaphy.2005.07.001 · Cited by 316 · see citing works
Giordano, M., Kansiz, M., Heraud, P., Beardall, J., Wood, B., & McNaughton, D. (2001) · Journal of Phycology · doi:10.1046/j.1529-8817.2001.037002271.x · Cited by 301 · see citing works
Climate-Driven Basin-Scale Decadal Oscillations of Oceanic Phytoplankton
Martinez, É., Antoine, D., D’Ortenzio, F., & Gentili, B. (2009) · Science · doi:10.1126/science.1177012 · Cited by 284 · see citing works
Raven, J. A., Giordano, M., Beardall, J., & MABERLY, S. C. (2012) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2011.0212 · Cited by 279 · see citing works
Algal and aquatic plant carbon concentrating mechanisms in relation to environmental change
Raven, J. A., Giordano, M., Beardall, J., & MABERLY, S. C. (2011) · Photosynthesis Research · doi:10.1007/s11120-011-9632-6 · Cited by 269 · see citing works
FT-IR Microspectroscopy Enhances Biological and Ecological Analysis of Algae
Murdock, J. N., & Wetzel, D. L. (2009) · Applied Spectroscopy Reviews · doi:10.1080/05704920902907440 · Cited by 223 · see citing works
Evolved physiological responses of phytoplankton to their integrated growth environment
Behrenfeld, M. J., Halsey, K. H., & Milligan, A. J. (2008) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2008.0019 · Cited by 218 · see citing works
Bilanovic, D., Andargatchew, A., Kroeger, T., & Shelef, G. (2009) · Energy Conversion and Management · doi:10.1016/j.enconman.2008.09.024 · Cited by 206 · see citing works
Blunden, J., Arndt, D. S., & Baringer, M. (2011) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477-92.6.s1 · Cited by 181 · see citing works
Excel for chemists: a comprehensive guide
(1998) · Choice Reviews Online · doi:10.5860/choice.35-3869 · Cited by 142 · see citing works
Heraud, P., Wood, B. R., Tobin, M. J., Beardall, J., & McNaughton, D. (2005) · FEMS Microbiology Letters · doi:10.1016/j.femsle.2005.06.021 · Cited by 123 · see citing works
Ordinary Differential Equations
Grossman, S. I. (1986) · Elsevier eBooks · doi:10.1016/b978-0-12-304380-1.50015-4 · Cited by 84 · see citing works
Domenighini, A., & Giordano, M. (2009) · Journal of Phycology · doi:10.1111/j.1529-8817.2009.00662.x · Cited by 78 · see citing works
Analysis of the nutritional status of algae by Fourier transform infrared chemical imaging
Hirschmugl, C. J., Bayarri, Z.-E., Bunta, M., Holt, J. B., & Giordano, M. (2006) · Infrared Physics & Technology · doi:10.1016/j.infrared.2006.01.032 · Cited by 56 · see citing works
Rigobello‐Masini, M., Penteado, J. C. P., Liria, C. W., de Miranda, M. T. M., & Masini, J. C. (2008) · Analytica Chimica Acta · doi:10.1016/j.aca.2008.08.030 · Cited by 53 · see citing works
Horton, R. B., Duranty, E. R., McConico, M. B., & Vogt, F. (2011) · Applied Spectroscopy · doi:10.1366/10-06122 · Cited by 37 · see citing works
Self-citationGiordano, M., Ratti, S., Domenighini, A., & Vogt, F. (2009) · Plant Ecology & Diversity · doi:10.1080/17550870903353088 · Cited by 29 · see citing works
Self-citationImpacts of nutrient competition on microalgae biomass production
White, L., Martin, D. W., Witt, K. K., & Vogt, F. (2013) · Journal of Chemometrics · doi:10.1002/cem.2534 · Cited by 20 · see citing works
Self-citationVogt, F. (2014) · Journal of Chemometrics · doi:10.1002/cem.2662 · Cited by 18 · see citing works
Self-citationRodr�guez, J. R. B., Reina, G., & Rodr�guez, J. J. S. (1997) · Biomedical Chromatography · doi:10.1002/(sici)1099-0801(199711)11:6 · Cited by 18 · see citing works
Penteado, J. C. P., Rigobello‐Masini, M., Liria, C. W., de Miranda, M. T. M., & Masini, J. C. (2009) · Journal of Separation Science · doi:10.1002/jssc.200800741 · Cited by 16 · see citing works
Giordano, M., & Ratti, S. (2012) · Journal of Applied Phycology · doi:10.1007/s10811-012-9966-2 · Cited by 16 · see citing works
Vogt, F. (2013) · Analytica Chimica Acta · doi:10.1016/j.aca.2013.08.036 · Cited by 12 · see citing works
Self-citationHorton, R. B., McConico, M. B., Landry, C., Tran, T. H. Y., & Vogt, F. (2012) · Analytica Chimica Acta · doi:10.1016/j.aca.2012.08.002 · Cited by 11 · see citing works
Self-citationVogt, F. (2014) · Journal of Chemometrics · doi:10.1002/cem.2684 · Cited by 11 · see citing works
Self-citationMonitoring chemical impacts on cell cultures by means of image analyses
McConico, M. B., Horton, R. B., Seabright, K., & Vogt, F. (2012) · Journal of Chemometrics · doi:10.1002/cem.2481 · Cited by 9 · see citing works
Self-citationModeling nutrient impacts on microalgae cells via image analyses
McConico, M. B., & Vogt, F. (2013) · Journal of Chemometrics · doi:10.1002/cem.2510 · Cited by 9 · see citing works
Self-citationVogt, F. (2014) · Journal of Chemometrics · doi:10.1002/cem.2689 · Cited by 9 · see citing works
Self-citationMcConico, M. B., & Vogt, F. (2013) · Analytical Letters · doi:10.1080/00032719.2013.811682 · Cited by 6 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Grace, C. E. E., Lakshmi, P. K., Meenakshi, S., Vaidyanathan, S., Srisudha, S., & Mary, M. B. (2020) · Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2019.117382 · Cited by 104 · see citing works
He, S., Fang, S., Xie, W., Zhang, P., Li, Z., Zhou, D., Zhang, Z., Guo, J., Du, C., Du, J., et al. (2018) · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2018.06.060 · Cited by 40 · see citing works
Podevin, M., Fotidis, I. A., & Angelidaki, I. (2018) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2017.1398132 · Cited by 34 · see citing works
Advances in techniques for assessment of microalgal lipids
Challagulla, V., Nayar, S., Walsh, K., & Fabbro, L. (2017) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2016.1206058 · Cited by 27 · see citing works
Esther Elizabeth Grace, C., Briget Mary, M., Vaidyanathan, S., & Srisudha, S. (2022) · Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2021.120830 · Cited by 21 · see citing works
Microalgae as embedded environmental monitors
Ogburn, Z. L., & Vogt, F. (2016) · Analytica Chimica Acta · doi:10.1016/j.aca.2016.11.058 · Cited by 15 · see citing works
Self-citationDeore, P., Beardall, J., Palacios, Y. M., Noronha, S., & Heraud, P. (2021) · Journal of Applied Phycology · doi:10.1007/s10811-021-02543-8 · Cited by 9 · see citing works
Ogburn, Z. L., & Vogt, F. (2017) · Applied Spectroscopy · doi:10.1177/0003702817728070 · Cited by 2 · see citing works
Self-citationParallelizing Nonlinear Least-Squares Regression with Application to Analyses of Microalgae
Vogt, F., & Byrd, R. K. (2016) · Analytical Letters · doi:10.1080/00032719.2016.1207656 · Cited by 2 · see citing works
Self-citationModeling the transformation of atmospheric CO 2 into microalgal biomass
Hasan, M. F., & Vogt, F. (2017) · The Analyst · doi:10.1039/c7an01054k · Cited by 1 · see citing works
Self-citation
- Authors
- Vogt, F., & White, L.
- Affiliations
- University of Tennessee at Knoxville (US)
- Corresponding author
- Vogt, Frank
- ORCID
- Vogt, Frank
- Venue
- Analytica Chimica Acta
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 867
- Pages
- 18-28
- ISSN
- 0003-2670 (ISSN-L)
- OpenAlex
- W2074632309
- Cited by
- 10
- References
- 40
- Citations by year
- 2021: 2 · 2019: 1 · 2018: 1 · 2017: 3 · 2016: 3
- FWCI
- 1.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Analytica Chimica Acta (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (CHE-1058695, CHE-1112269)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine and coastal ecosystems
- Keywords
- microalgal biomass, Dunaliella parva, nutrient availability, FTIR spectroscopy, live cell monitoring, chemometric models, harmful algal blooms, CO2 sequestration, microalgae productivity, time-series spectroscopy
- MeSH terms
- Adaptation, Physiological, Chromatography, High Pressure Liquid, Models, Biological, Photosynthesis, Least-Squares Analysis, Volvocida, Spectroscopy, Fourier Transform Infrared, Nonlinear Dynamics, Biomass, Microalgae
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
