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Sensors 2017, 17(4), 912; doi:10.3390/s17040912

A Multi-Platform Optical Sensor for In Vivo and In Vitro Algae Classification

Singapore-MIT Alliance for Research and Technology (SMART) Centre, 1 CREATE Way, CREATE Tower, #10-01, Singapore 138602, Singapore
Massachusetts Institute of Technology, Parsons Laboratory, Room 48-425, 15 Vassar Street, Cambridge, MA 02139, USA
Author to whom correspondence should be addressed.
Received: 24 March 2017 / Revised: 14 April 2017 / Accepted: 19 April 2017 / Published: 20 April 2017
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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. View Full-Text
Keywords: in situ real-time algae classification; algae sensor; in vivo algae measurement; fluorescence; absorbance; optical sensor in situ real-time algae classification; algae sensor; in vivo algae measurement; fluorescence; absorbance; optical sensor

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Ng, C.-L.; Chen, Q.-Q.; Chua, J.-J.; Hemond, H.F. A Multi-Platform Optical Sensor for In Vivo and In Vitro Algae Classification. Sensors 2017, 17, 912.

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