Abstract
An analytical technique allowing a distinction between cyanobacteria and other microscopic life forms that exploits autofluorescence in the deep ultraviolet has been developed. The proposed approach is based on the amplitude of relative fluorescence peaks of natural pigments or metabolites in unicellular microorganisms commonly present in the waters. The experimental results showed a clear distinction between cyanobacteria and other planktonic species. This approach has been applied to an aquaponics system receiving input water from the Drennec lake, in France, correctly detecting the presence of cyanobacteria.
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Acknowledgements
This research has been partially supported by the ERA-NET Cofund WaterWorks2015 project SMARTECOPONICS, “On-Site Microbial Sensing For Minimising Environmental Risks From Aquaponics To Human Health”.
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Persichetti, G. et al. (2020). UV Autofluorescence Spectroscopy for Cyanobacteria Monitoring and Discrimination in Source Water. In: Di Francia, G., et al. Sensors and Microsystems. AISEM 2019. Lecture Notes in Electrical Engineering, vol 629. Springer, Cham. https://doi.org/10.1007/978-3-030-37558-4_37
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DOI: https://doi.org/10.1007/978-3-030-37558-4_37
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