Fluorescence discrimination and determination technique for phytoplankton composition by Coif2 wavelet packet |
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Authors: | DUAN Yali SU Rongguo SHI Xiaoyong WANG Xiulin ZHU Chenjian SUN Yan |
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Institution: | 1. College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266100, P.R. China;Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China,Qingdao 266100, P.R. China;Taiyuan University of Technology, Taiyuan 030024, P.R. China 2. College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266100, P.R. China;Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China,Qingdao 266100, P.R. China |
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Abstract: | An in vivo fluorescence discrimination technique for phytoplankton population was developed by using Wavelet packet transform, cluster analysis and non-negative least squares. The technique was used to analyze water samples from different sea regions. For simulative mixtures, when dominant species account for 60%, 70%, 80%, 90% at the division level, the correct discrimination ratios (CDRs) are 83.0%, 99.1%, 99.7% and 99.9% with the relative contents of 58.5%, 68.4%, 77.7% and 86.3%, respectively; when the algae dominance are 60%, 70%, 80%, 90%, 100% at the genus level, the CDRs are 86.1%, 94.9%, 95.2%, 96.8% and 96.7%, respectively. For laboratory mixtures, the CDRs are 88.1% and 78.4% at the division and genus level, respectively. For field samples, the CDRs were 91.7% and 80% at the division and genus level, respectively (mesocosm experiments), and the CDRs were 100% and 66.7% at the division and genus level, respectively (Jiaozhou Bay). The fluorometric technique was used to estimate the phytoplankton community composition and relative abundance of different classes for the April 2010 cruise in the Yellow Sea with the results agreeing with those in published papers by other authors. |
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Keywords: | phytoplankton species wavelet packet transform feature spectra norm spectra database discrimination |
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