Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/35533
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dc.contributor.advisorSimis, Stefan G H-
dc.contributor.advisorTilstone, Gavin H-
dc.contributor.advisorOxborough, Kevin-
dc.contributor.advisorSpyrakos, Evangelos-
dc.contributor.advisorHunter, Peter D-
dc.contributor.authorCourtecuisse, Emilie-
dc.date.accessioned2023-11-14T11:00:00Z-
dc.date.issued2023-04-01-
dc.identifier.citationEmilie Courtecuisse, Kevin Oxborough, Gavin H Tilstone, Evangelos Spyrakos, Peter D Hunter, Stefan G H Simis, Determination of optical markers of cyanobacterial physiology from fluorescence kinetics, Journal of Plankton Research, Volume 44, Issue 3, May/June 2022, Pages 365–385, https://doi.org/10.1093/plankt/fbac025en_GB
dc.identifier.citationCourtecuisse, E.; Marchetti, E.; Oxborough, K.; Hunter, P.D.; Spyrakos, E.; Tilstone, G.H.; Simis, S.G.H. Optimising Multispectral Active Fluorescence to Distinguish the Photosynthetic Variability of Cyanobacteria and Algae. Sensors 2023, 23, 461. https://doi.org/10.3390/s23010461en_GB
dc.identifier.urihttp://hdl.handle.net/1893/35533-
dc.description.abstractEutrophication and the impacts of climate change are responsible for the increased occurrence of harmful algae blooms. In lakes and reservoirs, cyanobacteria blooms pose particular risk to ecosystems, humans and animals due to the occurrence of toxin-producing species. Several methods exist to monitor cyanobacteria, which vary in cost, time and accuracy. Fluorescence methods developed to monitor cyanobacterial abundance already give rapid, robust and reproducible results. Discrimination between cyanobacteria and algae in fluorescence methods is based on their photosynthetic pigment content, but due to overlapping pigment absorption signatures, the interpretation of fluorescence signals is consequently not straightforward. In this thesis, a range of fluorescence markers were tested on the ability to assess and predict cyanobacteria physiology and growth. Hyperspectral laboratory experiments with algal and cyanobacteria cultures revealed that excitation wavebands centred on 445 nm and 615 nm, and emission wavebands at 660, 685 and 730 nm allow the best differentiation between cyanobacteria and algae. Broadband actinic light should be preferred to assess the relation between ambient light and photosynthesis. Based on these results, a new multispectral active fluorometer (LabSTAF) was tested to assess the physiology and growth of cyanobacteria in reservoirs exhibiting annual blooms. Fluorescence light curves obtained with a green-orange-red (GOR) and a blue (B) excitation protocol were found to follow cyanobacteria and algae physiology, respectively. The fluorescence emission ratio of photosystem I over II was also significantly correlated with the relative abundance of cyanobacteria. Excitation spectra further distinguish the presence of distinct pigment groups. Finally, the ability of the LabSTAF to determine cyanobacteria growth from photosynthetic parameters was demonstrated on natural samples brought into nutrient replete conditions. ETR (electron transport rate) and Pmax (maximum specific photosynthetic rate) were found to predict phytoplankton growth by up to 3-4 days, with excitation protocols GOR and B indicating the dominant phytoplankton group.en_GB
dc.language.isoenen_GB
dc.publisherUniversity of Stirlingen_GB
dc.rightsChapter 2 is based on this Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/): Courtecuisse, E., Oxborough, K., Tilstone, G.H., Spyrakos, E., Hunter, P.D., Simis, S.G.H. (2022). Determination of optical markers of cyanobacterial physiology from fluorescence kinetics. Journal of Plankton Research, 44(3), 365-385. Chapter 3 is based on this Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/): Courtecuisse, E.; Marchetti, E.; Oxborough, K.; Hunter, P.D.; Spyrakos, E.; Tilstone, G.H.; Simis, S.G.H. Optimising Multispectral Active Fluorescence to Distinguish the Photosynthetic Variability of Cyanobacteria and Algae. Sensors 2023, 23, 461. https://doi.org/10.3390/s23010461en_GB
dc.subjectCyanobacteriaen_GB
dc.subjectFluorometryen_GB
dc.subjectOptical markersen_GB
dc.subjectActive fluorescenceen_GB
dc.subjectAlgaeen_GB
dc.subjectPhytoplankton dynamicsen_GB
dc.subjectToxic bloomsen_GB
dc.subjectEutrophicationen_GB
dc.subject.lcshEutrophicationen_GB
dc.subject.lcshCyanobacteriaen_GB
dc.subject.lcshCyanobacterial bloomsen_GB
dc.subject.lcshAlgaen_GB
dc.subject.lcshAlgal bloomsen_GB
dc.subject.lcshFluorimetryen_GB
dc.subject.lcshPhosphorimetryen_GB
dc.titleAssessing the photo-physiology of cyanobacteria using active fluorescenceen_GB
dc.typeThesis or Dissertationen_GB
dc.type.qualificationlevelDoctoralen_GB
dc.type.qualificationnameDoctor of Philosophyen_GB
dc.rights.embargodate2024-05-15-
dc.rights.embargoreasonTwo of the chapters of my thesis are published but it is not the case of the last one. I plan to submit my last chapter as a paper to a journal before the end of the year. If it is accepted it will probably be published in spring next year.en_GB
dc.contributor.funderNatural Environment Research Council (grant number 1983680). My PhD was an ICASE project and my industrial partner was Chelsea Technologies.en_GB
dc.author.emailcourtecuisse.emilie@gmail.comen_GB
dc.rights.embargoterms2024-05-16en_GB
dc.rights.embargoliftdate2024-05-16-
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