首页 | 本学科首页   官方微博 | 高级检索  
     检索      

浮游植物群落组成的离散三维荧光光谱识别测定技术
作者姓名:Zhang SS  Su RG  Duan YL  Song ZJ  Wang XL
作者单位:1. 中国海洋大学海洋化学理论与工程技术教育部重点实验室,山东,青岛,266100
2. 中国海洋大学信息科学与工程学院,山东,青岛,266100
基金项目:国家自然科学基金项目,山东省自然科学基金项目
摘    要:从荧光分光光度计所测浮游植物三维荧光光谱中.选取12个激发波长点(400,430,450,460,470,490,500,510,525,550,570,590nm)组成离散三维荧光光游,采用db7小波技术及Bayes判别法对光谱进行特征提取,并利用多元线性回归辅以非负最小二乘建市识别技术,实现了浮游植物群落组成门、属...

关 键 词:浮游植物群落  离散三维荧光光谱  小波分析  特征提取  识别

Research on the 3D discrete fluorescence spectrum technique for differentiation of phytoplankton population
Zhang SS,Su RG,Duan YL,Song ZJ,Wang XL.Research on the 3D discrete fluorescence spectrum technique for differentiation of phytoplankton population[J].Spectroscopy and Spectral Analysis,2011,31(3):732-736.
Authors:Zhang Shan-shan  Su Rong-guo  Duan Ya-li  Song Zhi-jie  Wang Xiu-lin
Institution:Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, China. shanshan66395680@sina.com
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.
Keywords:
本文献已被 万方数据 PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号