基于色素特征荧光光谱的浮游植物分类测量方法

光合作用色素组成是浮游植物分类的重要依据。通过对蓝藻、绿藻、硅藻、甲藻和隐藻等5个门类浮游植物三维荧光光谱的差异性分析，提取了与叶绿素a、叶绿素b、叶绿素c、类胡萝卜素、藻蓝蛋白和藻红蛋白等光合色素相关的36个特征荧光光谱点，提出了基于色素特征荧光光谱的不同门类浮游植物分类测量方法。对铜绿微囊藻、小球藻、桅杆藻、光甲藻和卵形隐藻的实验结果表明：色素特征荧光光谱法对5种藻类纯种样品的测量误差分别为5.15%、5.63%、7.90%、4.85%、6.55%，对优势藻类（质量分数高于50%）的测量误差分别为7.96%、8.69%、5.44%、10.78%、15.57%，对劣势藻类（质量分数低于30%）的测量误差分别为18.29%、17.52%、20.01%、29.11%、20.14%，测量结果准确度达到了三维荧光光谱法水平，但数据量和计算时间仅是三维荧光光谱法的1.1%和2.2%，是一种快速有效的浮游植物分类测量方法。

Abstract

The photosynthetic pigment composition is an important basis of classification of phytoplankton. Three dimensional (3D) fluorescence spectra of five phytoplankton divisions (Cyanophyta, Chlorophyta, Bacillariophyta, Dinophyta, Cryptophyta) are analyzed and 36 characteristic fluorescence peaks which are related to chlorophyll a, chlorophyll b, chlorophyll c, carotenoid, phycocyanin and phycoerythrin are extracted. On this basis, a classified measurement method of phytoplankton based on characteristic fluorescence of photosynthetic pigments is put forward. Pure cultures and mixed cultures of Microcystis aemginosa, Chlorella vulgaris, Fragilaria sp, Glenodinium gymnodinium and Cryptomonas ovate are tested. For the five pure cultures, the measuring errors are 5.15%, 5.63%, 7.90%, 4.85%, 6.55%. For dominant species (mass fraction higher than 50%), the measuring errors are 7.96%, 8.69%, 5.44%, 10.78%, 15.57%. For subordinate species (mass fraction less than 30%), the measuring errors are 18.29%, 17.52%, 20.01%, 29.11%, 20.14%. The characteristic fluorescence spectrometry is a fast and effective phytoplankton classified measurement method. Its measurement accuracy has reached the level of 3D fluorescence spectrometry, while the data volume and calculation time are only 1.1% and 2.2% of the 3D fluorescence spectrometry.

参考文献

[1] C S Yentsch, D A Phinney. Spectral fluorescence: An taxonomic tool for studying the structure of phytoplankton populations [J]. Journal of Plankton Research, 1985, 7(5): 617-632.

[2] T J Cowles, R A Desiderio, S Neuer. In situ characterization of phytoplankton from vertical profiles of fluorescence emission spectra [J]. Marine Biology, 1993, 115(2): 217-222.

[3] T Lee, M Tsuzuki, T Takeuchi, et al.. Quantitative determination of cyanobacteria in mixed phytoplankton assemblages by all in vivo fluorimetric method [J]. Analytical Chimica Acta, 1995, 302(1): 81-87.

[4] M Beutler, K H Wiltshire, B Meyer, et al.. A fluorometric method for the differentiation of algal populations in vivo and in situ [J]. Photosynthesis Research, 2002, 72(1): 39-53.

[5] 张前前, 类淑河, 王修林, 等. 浮游植物活体三维荧光光谱分类判别方法研究[J]. 光谱学与光谱分析, 2004, 24(10): 1227-1229.

Zhang Qianqian, Lei Shuhe, Wang Xiulin, et al.. Research on discrimination of 3D fluorescence spectra of phytoplanktons [J]. Spectroscopy and Spectral Analysis, 2004, 24(10): 1227-1229.

[6] 王志刚, 刘文清, 张玉钧, 等. 三维荧光光谱法分类测量水体浮游植物浓度[J]. 中国环境科学, 2008, 28(2): 136-141.

Wang Zhigang, Liu Wenqing, Zhang Yujun, et al.. The classified measuring of three dimensional excitation-emission fluorescence matrix technique on phytoplankton concentration in water body [J]. China Environmental Science, 2008, 28(2): 136-141.

[7] 陈小娜, 韩秀荣, 苏荣国, 等. 基于三维荧光光谱和平行因子技术联用的湖泊浮游藻化学分类学研究[J]. 环境科学, 2014, 35(3): 924-932.

Chen Xiaona, Han Xiurong, Su Rongguo, et al.. Lake algae chemotaxonomy technology based on fluorescence excitation emission matrix and parallel factor analysis [J]. Environmental Science, 2014, 35(3): 924-932.

[8] 国家环境保护总局水和废水监测分析方法编委会. 水和废水监测分析方法[M]. 北京:中国环境科学出版社, 2002. 649-671.

Water and Wastewater Monitoring Method Editorial Board of the State Environmental Protection Administration. Water and Wastewater Monitoring Method [M]. Beijing: China Environmental Science Press, 2002. 649-671.

[9] R G Zepp, W M Sheldon, M A Moran. Dissolved organic fluorophores in southeastern US coastal waters: correction method for eliminating Rayleigh and Raman scattering peaks in excitation-emission matrices [J]. Marine Chemistry, 2004, 89(1-4): 15-36.

[10] 杜树新, 杜阳锋, 袁之报. 三维荧光光谱的特征区域选择方法[J]. 发光学报, 2012, 33(3): 341-345.

Du Shuxin, Du Yangfeng, Yuan Zhibao. Characteristic region selection methods for three-dimensional fluorescence spectrometry [J]. Chinese J Luminescence, 2012, 33(3): 341-345.

[11] 韩博平, 韩志国, 付翔. 藻类光合作用机理与模型[M]. 北京: 科学出版社, 2003. 6-17.

Han Boping, Han Zhiguo, Fu Xiang. Algal Photosynthesis: Mechanisms and Models [M]. Beijing: Science Press, 2003. 6-17.

[12] C Vitezslav, L M Desire. Elimination of uninformative variables for multivariate calibration [J]. Analytical Chemistry, 1996, 68(21): 3851-3858.

殷高方, 赵南京, 胡丽, 余晓娅, 石朝毅, 肖雪, 方丽, 段静波, 甘婷婷, 张玉钧, 刘建国, 刘文清. 基于色素特征荧光光谱的浮游植物分类测量方法[J]. 光学学报, 2014, 34(9): 0930005. Yin Gaofang, Zhao Nanjing, Hu Li, Yu Xiaoya, Shi Chaoyi, Xiao Xue, Fang Li, Duan Jingbo, Gan Tingting, Zhang Yujun, Liu Jianguo, Liu Wenqing. Classified Measurement of Phytoplankton Based on Characteristic Fluorescence of Photosynthetic Pigments[J]. Acta Optica Sinica, 2014, 34(9): 0930005.

基于色素特征荧光光谱的浮游植物分类测量方法

关于本站 Cookie 的使用提示

全站搜索

基于色素特征荧光光谱的浮游植物分类测量方法

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索