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IDENTIFYING PHYTOPLANKTON IN SEAWATER BASED ON DISCRETE EXCITATION-EMISSION FLUORESCENCE SPECTRA

2010; Wiley; Volume: 46; Issue: 2 Linguagem: Inglês

10.1111/j.1529-8817.2009.00805.x

1529-8817

Fang Zhang, Rongguo Su, Jianfeng He, Minghong Cai, Wei Luo, Xiulin Wang,

Water Quality Monitoring and Analysis

Journal of PhycologyVolume 46, Issue 2 p. 403-411 IDENTIFYING PHYTOPLANKTON IN SEAWATER BASED ON DISCRETE EXCITATION-EMISSION FLUORESCENCE SPECTRA1 Fang Zhang, Fang Zhang SOA Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai 200136, China Author for correspondence: e-mail [email protected].Search for more papers by this authorRongguo Su, Rongguo Su Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, ChinaSearch for more papers by this authorJianfeng He, Jianfeng He SOA Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai 200136, ChinaSearch for more papers by this authorMinghong Cai, Minghong Cai SOA Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai 200136, ChinaSearch for more papers by this authorWei Luo, Wei Luo SOA Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai 200136, ChinaSearch for more papers by this authorXiulin Wang, Xiulin Wang Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, ChinaSearch for more papers by this author Fang Zhang, Fang Zhang SOA Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai 200136, China Author for correspondence: e-mail [email protected].Search for more papers by this authorRongguo Su, Rongguo Su Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, ChinaSearch for more papers by this authorJianfeng He, Jianfeng He SOA Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai 200136, ChinaSearch for more papers by this authorMinghong Cai, Minghong Cai SOA Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai 200136, ChinaSearch for more papers by this authorWei Luo, Wei Luo SOA Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai 200136, ChinaSearch for more papers by this authorXiulin Wang, Xiulin Wang Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, ChinaSearch for more papers by this author First published: 31 March 2010 https://doi.org/10.1111/j.1529-8817.2009.00805.xCitations: 10 1 Received 25 February 2009. Accepted 10 September 2009. Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Abstract The feasibility of utilizing discrete excitation-emission spectra (DEEMs) to identify dominant groups of phytoplankton at both the genus and division levels was investigated. First, the characteristics of in vivo DEEMs were extracted using Coif2 wavelet. Second, optimal characteristic spectra of scale vectors (SOCS) and time-series vectors (TOCS) were selected by Fisher linear discriminant analysis (FLDA). Third, the SOCS and TOCS were sorted using hierarchical cluster analysis (HCA), and a two-rank database was established according to their discrimination ability. Fourth, the discrimination of phytoplankton was established by nonnegative least squares (NNLS). For single-species samples, the correct identification ratios (CIRs) were 62.9%–100% at the genus level and 95.1%–100% at the division level. The dominant species in the mixtures had corresponding CIRs of 87.5% and 97.9%, and 23 dominant species were correctly identified. Prorocentrum donghaiense D. Lu, Thalassiosira nordenskioeldi Cleve, Chaetoceros socialis Lauder (bloom-forming species with a density of about 107 cell·L−1), and Skeletonema costatum (Grev.) Cleve (a dominant species with a density of 104–106 cell·L−1 in seawater) were identified at the genus level. Other dominant species in seawater were identified at the division level if their density was 105–106 cell·L−1. References Beutler, M., Wiltshire, K. 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