A Multi-Platform Optical Sensor for In Vivo and In Vitro Algae Classification
Differentiation among major algal groups is important for the ecological and biogeochemical characterization of water bodies, and for practical management of water resources. It helps to discern the taxonomic groups that are beneficial to aquatic life from the organisms causing harmful algal blooms....
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Language: | en_US |
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MDPI AG
2017
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Online Access: | http://hdl.handle.net/1721.1/110358 https://orcid.org/0000-0003-4984-7870 |
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author | Chen, Qing-Qing Chua, Jia-Jing Ng, Chee-Loon Hemond, Harold F |
author2 | Singapore-MIT Alliance in Research and Technology (SMART) |
author_facet | Singapore-MIT Alliance in Research and Technology (SMART) Chen, Qing-Qing Chua, Jia-Jing Ng, Chee-Loon Hemond, Harold F |
author_sort | Chen, Qing-Qing |
collection | MIT |
description | Differentiation among major algal groups is important for the ecological and biogeochemical characterization of water bodies, and for practical management of water resources. It helps to discern the taxonomic groups that are beneficial to aquatic life from the organisms causing harmful algal blooms. An LED-induced fluorescence (LEDIF) instrument capable of fluorescence, absorbance, and scattering measurements; is used for in vivo and in vitro identification and quantification of four algal groups found in freshwater and marine environments. Aqueous solutions of individual and mixed dissolved biological pigments relevant to different algal groups were measured to demonstrate the LEDIF’s capabilities in measuring extracted pigments. Different genera of algae were cultivated and the cell counts of the samples were quantified with a hemacytometer and/or cellometer. Dry weight of different algae cells was also measured to determine the cell counts-to-dry weight correlations. Finally, in vivo measurements of different genus of algae at different cell concentrations and mixed algal group in the presence of humic acid were performed with the LEDIF. A field sample from a local reservoir was measured with the LEDIF and the results were verified using hemacytometer, cellometer, and microscope. The results demonstrated the LEDIF’s capabilities in classifying and quantifying different groups of live algae. |
first_indexed | 2024-09-23T13:05:40Z |
format | Article |
id | mit-1721.1/110358 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T13:05:40Z |
publishDate | 2017 |
publisher | MDPI AG |
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spelling | mit-1721.1/1103582022-10-01T13:01:26Z A Multi-Platform Optical Sensor for In Vivo and In Vitro Algae Classification Chen, Qing-Qing Chua, Jia-Jing Ng, Chee-Loon Hemond, Harold F Singapore-MIT Alliance in Research and Technology (SMART) Parsons Laboratory for Environmental Science and Engineering (Massachusetts Institute of Technology) Ng, Chee-Loon Hemond, Harold F Differentiation among major algal groups is important for the ecological and biogeochemical characterization of water bodies, and for practical management of water resources. It helps to discern the taxonomic groups that are beneficial to aquatic life from the organisms causing harmful algal blooms. An LED-induced fluorescence (LEDIF) instrument capable of fluorescence, absorbance, and scattering measurements; is used for in vivo and in vitro identification and quantification of four algal groups found in freshwater and marine environments. Aqueous solutions of individual and mixed dissolved biological pigments relevant to different algal groups were measured to demonstrate the LEDIF’s capabilities in measuring extracted pigments. Different genera of algae were cultivated and the cell counts of the samples were quantified with a hemacytometer and/or cellometer. Dry weight of different algae cells was also measured to determine the cell counts-to-dry weight correlations. Finally, in vivo measurements of different genus of algae at different cell concentrations and mixed algal group in the presence of humic acid were performed with the LEDIF. A field sample from a local reservoir was measured with the LEDIF and the results were verified using hemacytometer, cellometer, and microscope. The results demonstrated the LEDIF’s capabilities in classifying and quantifying different groups of live algae. 2017-06-28T18:48:13Z 2017-06-28T18:48:13Z 2017-04 2017-04 Article http://purl.org/eprint/type/JournalArticle 1424-8220 http://hdl.handle.net/1721.1/110358 Ng, Chee-Loon; Chen, Qing-Qing; Chua, Jia-Jing and Hemond, Harold. “A Multi-Platform Optical Sensor for In Vivo and In Vitro Algae Classification.” Sensors 17, 4 (April 2017): 912 © 2017 The Authors https://orcid.org/0000-0003-4984-7870 en_US http://dx.doi.org/10.3390/s17040912 Sensors Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/ application/pdf MDPI AG MDPI |
spellingShingle | Chen, Qing-Qing Chua, Jia-Jing Ng, Chee-Loon Hemond, Harold F A Multi-Platform Optical Sensor for In Vivo and In Vitro Algae Classification |
title | A Multi-Platform Optical Sensor for In Vivo and In Vitro Algae Classification |
title_full | A Multi-Platform Optical Sensor for In Vivo and In Vitro Algae Classification |
title_fullStr | A Multi-Platform Optical Sensor for In Vivo and In Vitro Algae Classification |
title_full_unstemmed | A Multi-Platform Optical Sensor for In Vivo and In Vitro Algae Classification |
title_short | A Multi-Platform Optical Sensor for In Vivo and In Vitro Algae Classification |
title_sort | multi platform optical sensor for in vivo and in vitro algae classification |
url | http://hdl.handle.net/1721.1/110358 https://orcid.org/0000-0003-4984-7870 |
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