A Multi-Platform Optical Sensor for In Vivo and In Vitro Algae Classification
Name
Hemond_A multi-platform optical.pdf
Size
6.03 MB
Format
Adobe PDF
Checksum (MD5)
5acc23cbc12f013498b488da76020ded
Author(s)
Chen, Qing-Qing
Chua, Jia-Jing
Ng, Chee-Loon
Hemond, Harold F
Date Issued
April 2017
Journal
Sensors
Publisher
MDPI AG
Citation
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
Version
Final published version
Abstract
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.
MIT Department
Singapore-MIT Alliance in Research and Technology (SMART)
Parsons Laboratory for Environmental Science and Engineering (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution 4.0 International License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/s17040912
