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Research on the discrimination methods of algae based on the fluorescence excitation spectra
作者姓名:HU Xupeng  SU Rongguo  ZOU Weiming  REN Shijun  WANG Hongtao  CHAI Xiaoping  WANG Yiming
作者单位:HU Xupeng,ZOU Weiming,REN Shijun,WANG Hongtao,CHAI Xiaoping,WANG Yiming(Zhejiang Provincial Zhoushan Marine Ecological Environmental Monitoring Station,Zhoushan 316000,China);SU Rongguo(College of Chemistry and Chemical Engineering,Ocean University of China,Qingdao 266100,China) 
基金项目:The National Natural Science Foundation of China under contract No. 40706036 and the National High-Tech Research and Development Program of China (“863” Program) under contract No. 2006AA09Z178.
摘    要:The excitation spectra of chlorophyll (Chl) fluorescence can be used to differentiate phytoplankton populations at phylum level in vivo and in situ within a few minutes.The investigated phytoplankton divisions (Dinophyta,Bacillariophyta,Chrysophyta,Cyanophyta,Cryptophyta,Chlorophyta) are each characterized by a specific composition of photosynthetic antenna pigments and,consequently,by a specific excitation spectrum of the Chl fluorescence.Norm excitation spectra (emission of 680 nm and excitation of 400–600 nm) of every division were obtained from several species per division by a F4500 fluorescence spectrophotometer.Fisher’s linear discriminant analysis of the norm spectra shows that the divisions could be discriminated.The discrimination method,established by multivariate linear regression and weighted least squares,was used to differentiate the phytoplankton samples cultured in the laboratory and samples collected from the Jiaozhao Bay at division level.The correctly discriminated samples were more than 94% for single algal species ones,more than 84% for simulatively mixed ones,more than 83% for real mixed ones and 100% for samples collected from the Jiaozhou Bay for the dominant species.The method for phytoplankton differentiation described here can be applied to routine checking by fluorescence spectrophotometer,and benefit the monitoring and supervision tasks related to phytoplankton populations in the marine environments.

关 键 词:荧光激发光谱  藻类  荧光分光光度计  加权最小二乘法  浮游植物  基础  多元线性回归  荧光激发谱
收稿时间:2/4/2009 12:00:00 AM
修稿时间:2009/12/7 0:00:00

Research on the discrimination methods of algae based on the fluorescence excitation spectra
HU Xupeng,SU Rongguo,ZOU Weiming,REN Shijun,WANG Hongtao,CHAI Xiaoping,WANG Yiming.Research on the discrimination methods of algae based on the fluorescence excitation spectra[J].Acta Oceanologica Sinica,2010,29(4):116-128.
Authors:HU Xupeng  SU Rongguo  ZOU Weiming  REN Shijun  WANG Hongtao  CHAI Xiaoping and WANG Yiming
Institution:1. Zhejiang Provincial Zhoushan Marine Ecological Environmental Monitoring Station,Zhoushan 316000,China
2. College of Chemistry and Chemical Engineering,Ocean University of China,Qingdao 266100,China
Abstract:The excitation spectra of chlorophyll (Chl) fluorescence can be used to differentiate phytoplankton populations at phylum level in vivo and in situ within a few minutes. The investigated phytoplankton divisions (Dinophyta, Bacillariophyta, Chrysophyta, Cyanophyta, Cryptophyta, Chlorophyta) are each characterized by a specific composition of photosynthetic antenna pigments and, consequently, by a specific excitation spectrum of the Chl fluorescence. Norm excitation spectra (emission of 680 nm and excitation of 400–600 nm) of every division were obtained from several species per division by a F4500 fluorescence spectrophotometer. Fisher’s linear discriminant analysis of the norm spectra shows that the divisions could be discriminated. The discrimination method, established by multivariate linear regression and weighted least squares, was used to differentiate the phytoplankton samples cultured in the laboratory and samples collected from the Jiaozhao Bay at division level. The correctly discriminated samples were more than 94% for single algal species ones, more than 84% for simulatively mixed ones, more than 83% for real mixed ones and 100% for samples collected from the Jiaozhou Bay for the dominant species. The method for phytoplankton differentiation described here can be applied to routine checking by fluorescence spectrophotometer, and benefit the monitoring and supervision tasks related to phytoplankton populations in the marine environments.
Keywords:fluorescence spectrum  discrimination  weighted least squares  phytoplankton
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