光谱学与光谱分析, 2011, 31 (1): 141, 网络出版: 2011-03-24  

溶解有机物三维荧光光谱技术在赤潮藻识别中的应用

Applications of Three-Dimensional Fluorescence Spectrum of Dissolved Organic Matter to Identification of Red Tide Algae
作者单位
1 中国科学院海洋研究所海洋生态与环境科学重点实验室, 山东 青岛266071
2 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
摘要
将赤潮藻生长过程中产生的荧光溶解有机物(fluorescent dissolved organic matter, FDOM)的三维荧光光谱与主成分分析相结合, 尝试建立了我国沿海10种常见赤潮藻的识别测定技术。 用主成分分析提取三维荧光光谱第一主成分载荷谱作为识别特征谱, 建立了浮游植物荧光特征谱库, 在此基础上利用Bayesian判别方法进行识别测定。 甲藻在种水平上的正确识别率≥92%, 硅藻在属水平上的正确识别率≥75%, 其中褐指藻属和角毛藻属的正确识别率≥90%。 从结果可以看出, 利用赤潮藻生长过程中的溶解有机物三维荧光光谱结合主成分分析的方法实现对赤潮藻在属水平上的识别测定是可行的。
Abstract
The identification techniques for 10 species of red tide algae often found in the coastal areas of China were developed by combining the three-dimensional fluorescence spectra of fluorescence dissolved organic matter (FDOM) from the cultured red tide algae with principal component analysis. Based on the results of principal component analysis, the first principal component loading spectrum of three-dimensional fluorescence spectrum was chosen as the identification characteristic spectrum for red tide algae, and the phytoplankton fluorescence characteristic spectrum band was established. Then the 10 algae species were tested using Bayesian discriminant analysis with a correct identification rate of more than 92% for Pyrrophyta on the level of species, and that of more than 75% for Bacillariophyta on the level of genus in which the correct identification rates were more than 90% for the phaeodactylum and chaetoceros. The results showed that the identification techniques for 10 species of red tide algae based on the three-dimensional fluorescence spectra of FDOM from the cultured red tide algae and principal component analysis could work well.

吕桂才, 赵卫红, 王江涛. 溶解有机物三维荧光光谱技术在赤潮藻识别中的应用[J]. 光谱学与光谱分析, 2011, 31(1): 141. L Gui-cai, ZHAO Wei-hong, WANG Jiang-tao. Applications of Three-Dimensional Fluorescence Spectrum of Dissolved Organic Matter to Identification of Red Tide Algae[J]. Spectroscopy and Spectral Analysis, 2011, 31(1): 141.

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