Chlorophyll-a Pigment Measurement of Spirulina in Algal Growth Monitoring Using Portable Pulsed LED Fluorescence Lidar System
Chlorophyll-a measurement is important in algal growth and water quality monitoring in natural waters. A portable pulsed LED fluorescence lidar system based on the preliminary algal organic matter and pigments excitation-emission matrix (EEM) of commercialized AZTEC Spirulina powder at varying conce...
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Veröffentlicht in: | Sensors (Basel, Switzerland) Switzerland), 2022-04, Vol.22 (8), p.2940 |
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Sprache: | eng |
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Zusammenfassung: | Chlorophyll-a measurement is important in algal growth and water quality monitoring in natural waters. A portable pulsed LED fluorescence lidar system based on the preliminary algal organic matter and pigments excitation-emission matrix (EEM) of commercialized AZTEC Spirulina powder at varying concentrations was developed. Fluorescence peaks from EEMs showed increasing intensity as the Spirulina concentration increases. Using this information, an LED fluorescence lidar with a wavelength of 385 nm, pulse width of 10 ns, and repetition frequency of 500 kHz was constructed for chlorophyll detection at 680 nm. Turbidity measurements were also conducted at 700 nm emission wavelength at the same excitation wavelength. Range-resolved fluorescence lidar signals from the portable pulsed LED fluorescence lidar system are highly correlated with the standard methods such as optical density at 680 nm (R
= 0.87), EEM fluorescence chlorophyll-a pigment at 680 nm (R
= 0.89), and corrected chlorophyll-a concentration (R
=0.92). The F680/F700 lidar ratio was measured to provide a linear relationship of chlorophyll-a and turbidity in waters. The F680/F700 measurement showed strong correlations with Spirulina concentration (R
= 0.94), absorbance at 680 nm (R
= 0.84), EEM chlorophyll-a pigment at 680 nm (R
= 0.83), and corrected chlorophyll-a concentration (R
= 0.86). Results revealed that this new technique of chlorophyll-a measurement can be used as an alternative to other standard methods in algal growth monitoring. |
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ISSN: | 1424-8220 1424-8220 |
DOI: | 10.3390/s22082940 |