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Identification of ichthyotoxic red tide algae based on three-dimensional fluorescence spectra and particle swarm
Si-Yuan Wang1, Wei-Hong Bi1, Wen-Yu Gan2
1School of Information Science and Engineering, Yanshan University, The Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, Qinhuangdao 066004, China.
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
|December 13, 2021
Summary
Accurate identification of ichthyotoxic red tide algae is crucial. This study developed a rapid, non-destructive method using 3D fluorescence and PSO-SVM, achieving 100% accuracy in detecting toxic algae.
Area of Science:
- Marine Biology
- Ecotoxicology
- Spectroscopy
Background:
- Red tides caused by ichthyotoxic microalgae pose significant threats to aquatic ecosystems and fisheries.
- Accurate and rapid identification of toxic algae is essential for effective monitoring and management.
Purpose of the Study:
- To develop a rapid, non-destructive method for detecting ichthyotoxic red tide algae.
- To establish a classification model for identifying ichthyotoxicity in microalgae.
Main Methods:
- Utilized three-dimensional (3D) fluorescence spectroscopy to analyze algae.
- Employed particle swarm optimization support vector machine (PSO-SVM) for classification.
- Selected optimal excitation and emission wavelength ranges based on spectral contour maps.
Main Results:
- Achieved 100% classification accuracy on the test set for identifying ichthyotoxic algae.
- Successfully identified ichthyotoxicity in various algae species, including Heterosigma akashiwo and Chattonella marina.
- The method demonstrated effectiveness for cell concentrations ranging from 10^4 to 10^6 cells/mL.
Conclusions:
- The combination of 3D fluorescence spectroscopy and PSO-SVM provides a highly accurate and efficient method for detecting ichthyotoxic red tide algae.
- This approach offers a promising tool for real-time, non-destructive monitoring of harmful algal blooms.
