Differentiation of phytoplankton populations by in vivo fluorescence

Wang Xiu-lin
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引用次数: 2

Abstract

In order to develop an in situ algae fluorescence auto-analyzer,the discriminating technology for phytoplankton populations was established by in vivo chlorophyll fluorescence excitation spectra composed of 12 excitation wavelengths(400,430,450,460,470,480,490,510,525,550,570,and 590 nm) of the algae occurring frequently in the coastal waters of China and a multivariate linear regression model.The linear regression model was solved by non-negative least squares.Some samples were tested.For 79 single division algal samples,96% samples were accurately discriminated,with recovery efficiency above 68%,and the recovery efficiency of 85% samples was above 80%.For 17 mixed division algal samples,76% samples were accurately determinated,with recovery efficiency above 74%.
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浮游植物种群的体内荧光分化
为了开发藻类原位荧光自动分析仪,利用中国沿海海域常见藻类的12个激发波长(400nm、430nm、450nm、460nm、470nm、480nm、490nm、510,525,550,570和590 nm)组成的体内叶绿素荧光激发光谱,建立多元线性回归模型,建立浮游植物种群判别技术。线性回归模型采用非负最小二乘法求解。对一些样本进行了测试。对79份单分裂藻类样品,96%的样品准确鉴别,回收率在68%以上,85%的样品回收率在80%以上。对17份混分裂藻样品,精密度为76%,回收率在74%以上。
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Differentiation of phytoplankton populations by in vivo fluorescence Comparisons of surface Chl a and primary productivity along three transects of the southern South China Sea, northern Java Sea and eastern Indian Ocean in April 2011*
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