title: [Discrimination of Red Tide algae by fluorescence spectra and principle component analysis].
abstract: Fluorescence discrimination technology for 11 species of the Red Tide algae at genus level was constructed by principle component analysis and non-negative least squares. Rayleigh and Raman scattering peaks of 3D fluorescence spectra were eliminated by Delaunay triangulation method. According to the results of Fisher linear discrimination, the first principle component score and the second component score of 3D fluorescence spectra were chosen as discriminant feature and the feature base was established. The 11 algae species were tested, and more than 85% samples were accurately determinated, especially for Prorocentrum donghaiense, Skeletonema costatum, Gymnodinium sp., which have frequently brought Red tide in the East China Sea. More than 95% samples were right discriminated. The results showed that the genus discriminant feature of 3D fluorescence spectra of Red Tide algae given by principle component analysis could work well.
authors: Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266003, China. surongguo@mail.ouc.edu.cn
authors: Rong-guo
authors: RG
authors: Su
authors: Xu-peng
authors: XP
authors: Hu
authors: Chuan-song
authors: CS
authors: Zhang
authors: Xiu-lin
authors: XL
authors: Wang
mesh_terms: D056890:Eukaryota / Q000145:classification / Q000254:growth & development*; D005068:Eutrophication; D025341:Principal Component Analysis; D013050:Spectrometry, Fluorescence / Q000379:methods*