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Updated: Jun 1, 2025
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Spectrophotometric Determination of Phycobiliprotein Content in Cyanobacterium Synechocystis
Published on: September 11, 2018
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Direct detection of phycocyanin in sediments by hyperspectral imaging
Giulia Wienhues1, Petra Zahajská1,2, Daniela Fischer1
1Institute of Geography and Oeschger Center for Climate Change Research, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland.
Journal of Paleolimnology
|January 21, 2025
Summary
Hyperspectral imaging (HSI) offers a new, non-destructive method to detect and quantify cyanobacteria (blue-green algae) in lake sediments using phycocyanin pigment. This technique aids in reconstructing historical bloom events for ecosystem management.
Area of Science:
- Environmental Science
- Geochemistry
- Biogeochemistry
Background:
- Cyanobacteria are vital aquatic organisms but also cause harmful algal blooms.
- Lake sediments archive historical bloom data, with phycocyanin as a key biomarker.
- Existing methods for phycocyanin extraction from sediments are lacking.
Purpose of the Study:
- To explore hyperspectral imaging (HSI) for non-destructive, in-situ detection and quantification of phycocyanin in lake sediments.
- To establish a semi-quantitative method for measuring phycocyanin using HSI.
- To assess the reliability of HSI for historical cyanobacterial bloom reconstruction.
Main Methods:
- Utilized hyperspectral imaging (HSI) to detect phycocyanin via an absorption trough at 620 nm (RABD620).
- Conducted spiking experiments with phycocyanin standards on diverse sediment types to calibrate the RABD620 index.
- Assessed potential spectral interference from chlorophyll a and water content.
Main Results:
- Established a semi-quantitative relationship between the RABD620 spectral index and phycocyanin concentration.
- Demonstrated significant correlations (R² 0.37–0.997) between RABD620 and phycocyanin in various sediments.
- Confirmed HSI's potential for rapid, non-destructive measurement of in-situ phycocyanin.
Conclusions:
- Hyperspectral imaging provides a promising, rapid, and non-destructive method for quantifying cyanobacterial biomarker phycocyanin in lake sediments.
- This technique enables direct in-situ measurement of historical cyanobacterial bloom intensity.
- The method supports ecosystem health assessment and environmental change monitoring.
