Research on the 3D Discrete Fluorescence Spectrum Technique for Differentiation of Phytoplankton Population
ZHANG Shan-shan1, SU Rong-guo1*, DUAN Ya-li1, SONG Zhi-jie2, WANG Xiu-lin1
1. Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, China 2. College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
Abstract：The present research was targeted to develop a fluorescence analyser for phytoplankton population which uses a series of LEDs as the light source. So the 3D discrete fluorescence spectra with 12 excitation wavelengths (400, 430, 450, 460, 470, 490, 500, 510, 525, 550, 570 and 590 nm) were determined by fluorescence spectrophotometer for 43 phytoplankton species. Then, the wavelet, Daubechies-7 (Db7), and Bayes Classifier were applied to extract the characteristics for each classes from the 3D discrete fluorescence spectra. Lastly, the fluorescence differentiation method for phytoplankton populations was established by multivariate linear regression and non-negative least squares, which could differentiate phytoplankton populations at the levels of both divisions and genus. This method was tested: for simulatively mixed samples(the dominant species accounted for 70%, 80%, 90% and 100% of the gross biomass, respectively) from 32 red tide algal species, and the correct discrimination rates at the level of genus were 67.5%，75.8%，81.4% and 79.4%, respectively. For simulatively mixed samples (the dominant divisions algae accounted for 50%, 75% and 100% of the gross biomass, respectively) from 43 algal species, the discrimination rates at the level of division were 95.2%, 99.7% and 91.9% with average relative content of 38.1%，63.2% and 90.5%, respectively.
张珊珊1，苏荣国1*，段亚丽1，宋志杰2，王修林1 . 浮游植物群落组成的离散三维荧光光谱识别测定技术[J]. 光谱学与光谱分析, 2011, 31(03): 732-736.
ZHANG Shan-shan1, SU Rong-guo1*, DUAN Ya-li1, SONG Zhi-jie2, WANG Xiu-lin1 . Research on the 3D Discrete Fluorescence Spectrum Technique for Differentiation of Phytoplankton Population. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(03): 732-736.
[1] Suzuki K, Handa N, Kiyosawa H. J Oceanogr, 1997, 53: 383. [2] Pech-Pacheco J L, Alvarez-Borrego J. Marine Biology, 1998, 132: 357. [3] Sieracki C K, Sieracki M E, Yentsch C S. Marine Ecology Progress Series, 1998, 168: 285. [4] Lewitus A J, White D L, Tymowski R G. Estuaries, 2005, 28: 160. [5] Mackey M D, Mackey D J, Higgins H W. Marine Ecology Progress Series, 1996, 144: 265. [6] Mura Yama-ka Yano E, Yoshimatsy S, Kayano T. J. Ferment Bjioeng, 1998, 85(3): 343. [7] Walsh D, Reeves R A, Saul D J. Bioche System and Eco., 1998, 26(5): 495. [8] Yentsh C S, Phinney D A. Journal of Plankton Research, 1985, 7: 617. [9] Seppala J, Balode M. Hydrobiologia, 1998, 363: 207. [10] Lee T, Tsuzuki M, Takeuchiet T. Analytical Chimica Acta, 1995, 302(1): 81. [11] Beutler M, Wiltshire K H, Meyeret B. Photosynthesis Research, 2002, 72(1): 39. [12] ZHANG Qian-qian，WANG Xiu-lin，ZHU Chen-jian(张前前，王修林, 祝陈坚). Marine Environmental Science(海洋环境科学), 2004, 23(1): 77. [13] ZHANG Qian-qian，LEI Shu-he，WANG Xiu-lin(张前前，类淑河，王修林). High Technology Letters(高技术通讯), 2005, 25(4): 75. [14] ZHANG Fang, SU Rong-guo, WANG Xiu-lin(张 芳，苏荣国，王修林). Chinese Journal of Lasers(中国激光), 2008, 35(12): 2052. [15] ZHANG Fang, WANG Liang, SU Rong-guo(张 芳, 王 良, 苏荣国). Chinese Journal of Sensors and Actuators(传感技术学报), 2007, 20(10): 2143. [16] LIU Bao, SU Rong-guo, SONG Zhi-jie(刘 宝，苏荣国，宋志杰). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2010, 30(5): 1275. [17] Zepp R G, Sheldon W N, Moran M A. Marine Chemistry, 2004, 89: 15.
