Monitoring phytoplankton diversity using NIR Raman spectroscopy, EEM and multivariate data analysis

Nina I. Novikova; Hannah Matthews; Isabelle Williams; Mary A. Sewell; Michel K. Nieuwoudt; M. C. Simpson; Neil G. R. Broderick

doi:10.1117/12.2649550

17 March 2023 Monitoring phytoplankton diversity using NIR Raman spectroscopy, EEM and multivariate data analysis

Nina I. Novikova, Hannah Matthews, Isabelle Williams, Mary A. Sewell, Michel K. Nieuwoudt, M. C. Simpson, Neil G. R. Broderick

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Proceedings Volume PC12363, Multiscale Imaging and Spectroscopy IV; PC123630L (2023) https://doi.org/10.1117/12.2649550
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Phytoplankton community constitutes the basis of aquatic food chain and rapidly change in response to ecological factors. Tracking health and diversity of phytoplankton is crucial in monitoring nutrient availability and environmental impacts in aquaculture industry. Herein we use NIR Raman spectroscopy as highly specific, label free method for monitoring phytoplankton. The differences in the composition of complex mixtures of bioactive molecules were analyzed using multivariate statistical data analysis techniques (PCA, PARAFAC and PLS-DA). Our results demonstrate high cross-validation and prediction accuracy for different growth phases, taxonomic groups and cell viability in three different species of phytoplankton.

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Nina I. Novikova, Hannah Matthews, Isabelle Williams, Mary A. Sewell, Michel K. Nieuwoudt, M. C. Simpson, and Neil G. R. Broderick "Monitoring phytoplankton diversity using NIR Raman spectroscopy, EEM and multivariate data analysis", Proc. SPIE PC12363, Multiscale Imaging and Spectroscopy IV, PC123630L (17 March 2023); https://doi.org/10.1117/12.2649550

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KEYWORDS

Raman spectroscopy

Data analysis

Near infrared

Confocal microscopy

Principal component analysis

Microscopy

Molecules

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