Cadondon, JumarLesidan, James Roybulan, jejomarVallar, EdgarShiina, TatsuoGalvez, Maria Cecilia2025-05-112023-11-15Cadondon, J., Lesidan, J. R., Bulan, J., Vallar, E., Shiina, T., & Galvez, M. C. (2023). Algal organic matter fluorescence analysis of <i>Chlorella</i> sp. for biomass estimation. <i>Engineering Proceedings<i>, <i>58</i>(1), 80. https://doi.org/10.3390/ecsa-10-162202673-4591https://hdl.handle.net/20.500.14583/148Presented at the 10th International Electronic Conference on Sensors and Applications (ECSA-10), 15–30 November 2023; Available online: https://ecsa-10.sciforum.net/Algal Organic Matter (AOM) is derived from the dissolved organic matter composition of the algal species being observed. In this study, excitation–emission fluorescence spectroscopy was used to determine <i>Chlorella</i> sp.’s AOM and pigment characteristics in varying algal biomass concentrations. The AOM and pigment characteristics were observed at 400–600 nm and 600–800 nm fluorescence emission, respectively, with an excitation spectrum of 300–450 nm. F450/680 was computed based on the ratio between the dissolved organic matter contribution at 450 nm and chlorophyll-a at 680 nm. F450/680 positively correlated with algal biomass (r = 0.96) at an excitation wavelength of 405 nm. This study is a good reference for those interested in algal biomass estimation and production in natural waters.enAttribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/algal organic matterbiomass estimationChlorella sp.fluorescenceArticle10.3390/ecsa-10-16220ChlorellaChlorellamicroalgaebiomassfluorescencealgal proteinsphotosynthesisbiofuelssustainable agriculturewater qualityenvironmental monitoringSDG 7 - Affordable and clean energySDG 12 - Responsible consumption and productionSDG 13 - Climate action