| HU Xupeng,SU Rongguo,ZOU Weiming,REN Shijun,WANG Hongtao,CHAI Xiaoping,WANG Yiming. 2010. Research on the discrimination methods of algae based on the fluorescence excitation spectra. Acta Oceanologica Sinica, (4):116－128 |
| Research on the discrimination methods of algae based on the fluorescence excitation spectra |
| Research on the discrimination methods of algae based on the fluorescence excitation spectra |
| Received:February 04, 2009 Revised:December 07, 2009 |
| DOI：10.1007/s13131-010-0054-7 |
| Key words:fluorescence spectrum discrimination weighted least squares phytoplankton |
| 中文关键词: fluorescence spectrum discrimination weighted least squares phytoplankton |
| 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. |
| Author Name | Affiliation | E-mail | | HU Xupeng | Zhejiang Provincial Zhoushan Marine Ecological Environmental Monitoring Station, Zhoushan 316000, China | huxpstudy@gmail.com | | SU Rongguo | College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266100, China | | | ZOU Weiming | Zhejiang Provincial Zhoushan Marine Ecological Environmental Monitoring Station, Zhoushan 316000, China | | | REN Shijun | Zhejiang Provincial Zhoushan Marine Ecological Environmental Monitoring Station, Zhoushan 316000, China | | | WANG Hongtao | Zhejiang Provincial Zhoushan Marine Ecological Environmental Monitoring Station, Zhoushan 316000, China | | | CHAI Xiaoping | Zhejiang Provincial Zhoushan Marine Ecological Environmental Monitoring Station, Zhoushan 316000, China | | | WANG Yiming | Zhejiang Provincial Zhoushan Marine Ecological Environmental Monitoring Station, Zhoushan 316000, China | |
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| 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. |
| 中文摘要: |
| 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. |
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