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引用本文:类成龙,姜玥璐,周进,劳永民,何永红,蔡中华.基于矩阵模型进行抗荧光干扰的蓝藻原位检测方法.湖泊科学,2017,29(5):1265-1273. DOI:10.18307/2017.0525
LEI Chenglong,JIANG Yuelu,ZHOU Jin,LAO Yongmin,HE Yonghong,CAI Zhonghua.Anti-interferance in-situ detection of cyanobacteria based on matrix model. J. Lake Sci.2017,29(5):1265-1273. DOI:10.18307/2017.0525
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基于矩阵模型进行抗荧光干扰的蓝藻原位检测方法
类成龙1,2, 姜玥璐2, 周进2, 劳永民2, 何永红2, 蔡中华2
1.清华大学生命学院, 北京 100084;2.清华大学深圳研究生院, 深圳 518055
摘要:
藻蓝蛋白与叶绿素a作为特征色素常用于表征蓝藻的生物量.藻蓝蛋白与叶绿素a通常用荧光光谱或原位荧光强度检测,但是在实际水体中藻蓝蛋白与叶绿素a的荧光效应相互干扰会影响测量精度,极大限制了该方法的应用.本文根据朗伯比尔定律,利用二阶矩阵模型设计了一套在荧光检测过程中"激发光-发射光"优化抗干扰的波长选择方法,并利用多元线性回归分析建立了两种色素浓度与荧光强度之间的多元校正线性模型,实验验证了所筛选蓝藻荧光分析法中特定激发光和发射光波长的有效性.本研究实现了两种色素检测过程中的成功解耦,可在藻蓝蛋白的原位检测中排除水体中藻蓝蛋白与叶绿素a之间的相互干扰,提高藻蓝蛋白和叶绿素a的原位检测精度,为开发便携式蓝藻检测传感器时的波长选择提供理论基础.
关键词:  藻蓝蛋白  叶绿素a  荧光检测  解耦  抗荧光干扰
DOI:10.18307/2017.0525
分类号:
基金项目:广东省海洋与渔业厅科技攻关与研发项目(A201503D07)和深圳市科技创新委计划项目(JCYJ20160608165926763,JCYJ20151117173236192,CXZZ20150529165045063)联合资助.
Anti-interferance in-situ detection of cyanobacteria based on matrix model
LEI Chenglong1,2, JIANG Yuelu2, ZHOU Jin2, LAO Yongmin2, HE Yonghong2, CAI Zhonghua2
1.School of Life Science, Tsinghua University, Beijing 100084, P. R. China;2.Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, P. R. China
Abstract:
Phycocyanin and chlorophyll-a are characterizations of cyanobacterial biomass.These two pigments are detected in situ with fluorescence spectrum method or fluorescence intensity.However,due to the fluorescence interference between phycocyanin and chlorophyll-a,the accuracy of in-situ detection of cyanobacteria is relatively low,which limited the application of this method.In this study,we developed a novel method of fluorescence analysis based on a two-order matrix model and a multivariate calibra-tion linear model for the correlation between the fluorescence intensity and pigment concentration,which was verified by experi-ment.The established method decoupled the two mixed pigments as well as quantitatively analyzed the wavelength selection of exci-tation and emission and largely eliminated the fluorescence interference between phycocyanin and chlorophyll-a,and therefore,sig-nificantly improved the accuracy of in-situ detection of cyanobacteria.More importantly,our study can provide theoretical basis for the cyanobacteria detection sensor in how to select wavelengths.
Key words:  Phycocyanin  chlorophyll-a  fluorescence detection  decoupling  anti-interference
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