Cited by 145Spectroscopy Techniques in Biomedical and Chemical ResearchAlgal biology and biofuel productionSpectroscopy and Chemometric Analyses

Micro‐Raman spectroscopy of algae: Composition analysis and fluorescence background behavior

Huang, Y.Y., Beal, C.M., Cai, W.W., Ruoff, R.S., Terentjev, E.M.·2010·Biotechnology and Bioengineering

Abstract

Preliminary feasibility studies were performed using Stokes Raman scattering for compositional analysis of algae. Two algal species, Chlorella sorokiniana (UTEX #1230) and Neochloris oleoabundans (UTEX #1185), were chosen for this study. Both species were considered to be candidates for biofuel production. Raman signals due to storage lipids (specifically triglycerides) were clearly identified in the nitrogen‐starved C. sorokiniana and N. oleoabundans, but not in their healthy counterparts. On the other hand, signals resulting from the carotenoids were found to be present in all of the samples. Composition mapping was conducted in which Raman spectra were acquired from a dense sequence of locations over a small region of interest. The spectra obtained for the mapping images were filtered for the wavelengths of characteristic peaks that correspond to components of interest (i.e., triglyceride or carotenoid). The locations of the components of interest could be identified by the high intensity areas in the composition maps. Finally, the time evolution of fluorescence background was observed while acquiring Raman signals from the algae. The time dependence of fluorescence background is characterized by a general power law decay interrupted by sudden high intensity fluorescence events. The decreasing trend is likely a result of photo‐bleaching of cell pigments due to prolonged intense laser exposure, while the sudden high intensity fluorescence events are not understood. Biotechnol. Bioeng. 2010;105: 889–898. © 2009 Wiley Periodicals, Inc.

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Crossref · 10.1002/bit.22617

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  • When detecting Raman scattered light, Rayleigh and Tyndall scattering must first be eliminated, elucidating faint characteristic spectra comprising astaxanthin, chlorophyll a, chlorophyll b, chlorophyll c, lipids, fatty acids, proteins, carbohydrates, nucleic acids.

    “When detecting Raman scattered light, Rayleigh and Tyndall scattering must first be eliminated, elucidating faint characteristic spectra comprising astaxanthin, chlorophyll a, chlorophyll b, chlorophyll c, lipids, fatty acids, proteins, carbohydrates, nucleic acids, [18,38-44] (Fig. 2 & Fig. 3).”

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Authors
Huang, Y. Y., Beal, C. M., Cai, W. W., Ruoff, R. S., & Terentjev, E. M.
Affiliations
  • University of Cambridge (GB)
  • Texas Materials Institute (US)
Corresponding author
Ruoff, R.S.
Venue
Biotechnology and Bioengineering
Publisher
Wiley
Published
2010-02-19
Volume
105
Issue
5
Pages
889-898
ISSN
  • 0006-3592 (ISSN-L)
  • 1097-0290
OpenAlex
W2009168790
Cited by
145
References
50
Citations by year
2026: 3 · 2025: 7 · 2024: 5 · 2023: 2 · 2022: 6 · 2021: 13 · 2020: 3 · 2019: 10 · 2018: 6 · 2017: 9 · 2016: 11 · 2015: 11 · 2014: 12 · 2013: 19 · 2012: 13
FWCI
5.56
Type
journal article
Language
en
Open access
closed
Locations
  • Biotechnology and Bioengineering (publishedVersion)
  • PubMed (publishedVersion)
  • Cambridge University Engineering Department Publications Database (submittedVersion)
  • Scholarworks@UNIST (Ulsan National Institute of Science and Technology) (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
  • Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
Keywords
algae, Chlorella sorokiniana, Neochloris oleoabundans, micro-Raman spectroscopy, Raman mapping, triglycerides, storage lipids, carotenoids, background fluorescence, photobleaching, nitrogen starvation, biofuel feedstock, composition mapping
MeSH terms
Chlorophyta, Chlorella, Fluorescence, Spectrum Analysis, Raman, Eukaryota

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