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Article

Optimising Multispectral Active Fluorescence to Distinguish the Photosynthetic Variability of Cyanobacteria and Algae

Details

Citation

Courtecuisse E, Marchetti E, Oxborough K, Hunter PD, Spyrakos E, Tilstone GH & Simis SGH (2023) Optimising Multispectral Active Fluorescence to Distinguish the Photosynthetic Variability of Cyanobacteria and Algae. Sensors, 23 (1), Art. No.: 461. https://doi.org/10.3390/s23010461

Abstract
This study assesses the ability of a new active fluorometer, the LabSTAF, to diagnostically assess the physiology of freshwater cyanobacteria in a reservoir exhibiting annual blooms. Specifically, we analyse the correlation of relative cyanobacteria abundance with photosynthetic parameters derived from fluorescence light curves (FLCs) obtained using several combinations of excitation wavebands, photosystem II (PSII) excitation spectra and the emission ratio of 730 over 685 nm (Fo(730/685)) using excitation protocols with varying degrees of sensitivity to cyanobacteria and algae. FLCs using blue excitation (B) and green–orange–red (GOR) excitation wavebands capture physiology parameters of algae and cyanobacteria, respectively. The green–orange (GO) protocol, expected to have the best diagnostic properties for cyanobacteria, did not guarantee PSII saturation. PSII excitation spectra showed distinct response from cyanobacteria and algae, depending on spectral optimisation of the light dose. Fo(730/685), obtained using a combination of GOR excitation wavebands, Fo(GOR, 730/685), showed a significant correlation with the relative abundance of cyanobacteria (linear regression, p-value < 0.01, adjusted R2 = 0.42). We recommend using, in parallel, Fo(GOR, 730/685), PSII excitation spectra (appropriately optimised for cyanobacteria versus algae), and physiological parameters derived from the FLCs obtained with GOR and B protocols to assess the physiology of cyanobacteria and to ultimately predict their growth. Higher intensity LEDs (G and O) should be considered to reach PSII saturation to further increase diagnostic sensitivity to the cyanobacteria component of the community.

Keywords
active fluorescene; multispectral; phytoplankton; cyanobacteria; algae; population dynamics; limnology

Journal
Sensors: Volume 23, Issue 1

StatusPublished
Funders and
Publication date31/01/2023
Publication date online01/01/2023
Date accepted by journal24/12/2022
URL
PublisherMDPI AG
eISSN1424-8220

People (3)

Miss Emilie Courtecuisse

Miss Emilie Courtecuisse

PhD Researcher, Biological and Environmental Sciences

Professor Peter Hunter

Professor Peter Hunter

Professor, Scotland's International Environment Centre

Professor Evangelos Spyrakos

Professor Evangelos Spyrakos

Professor, Biological and Environmental Sciences

Projects (1)

Files (1)