转基因水稻及其亲本叶片的可见/近红外光谱分析  

Analysis of Transgenic and Non-Transgenic Rice Leaves Using Visible/Near-Infrared Spectroscopy

作　　者：朱文超[1] 成芳[1] 

机构地区：[1]浙江大学生物系统工程与食品科学学院,浙江杭州310058

出　　处：《光谱学与光谱分析》2012年第2期370-373,共4页Spectroscopy and Spectral Analysis

基　　金：国家科技支撑计划项目(2008BADA8B04-1)资助

摘　　要：应用可见/近红外光谱技术实现了转基因水稻叶片的快速识别和叶绿素含量(SPAD)的快速检测。建立偏最小二乘-支持向量机(LS-SVM)鉴别模型,校正集的正确率为100%,同时应用连续投影算法(SPA)提取有效波长,建立SPA-LS-SVM鉴别模型,只用了全变量的0.3%进行建模,其预测集的正确率达到87.27%。在定量分析中,各模型的最优结果均来自经过正交信号校正(OSC)的光谱数据,经过SPA处理后的模型均优于最优的全波段PLS模型,说明SPA是一种有效的波长选择方法。最优SPAD值预测模型为SPA-LS-SVM,其相关系数(r)和预测均方根误差(RMSEP)分别为0.902 2和1.312 1,获得了满意的结果。这说明提出的SPA-LS-SVM方法能快速识别转基因水稻叶片并对SPAD值进行准确预测,为实现大田活体鉴别与连续监测提供了新方法。Visible/near-infrared（Vis/NIR） spectroscopy was investigated for the fast discrimination of rice leaves with different genes and the determination of chlorophyll content.Least squares-support vector machines（LS-SVM） was employed to discriminate transgenic rice leaves from non-transgenic ones.The classification accuracy of calibration samples reached to 100%.Successive projections algorithm（SPA） was proposed to select effective wavelengths.SPA-LS-SVM discrimination model was performed,and the result indicated that an 87.27% recognition ratio was achieved using only 0.3% of total variables.The optimal performance of each quantification model was achieved after orthogonal signal correction（OSA）.Performances treated by SPA were better than that of full-spectrum PLS,which indicated that SPA is a powerful way for effective wavelength selection.The best performance of quantification was obtained by SPA-LS-SVM model;with correlation coefficient（R） and root mean square error of prediction（RMSEP） being 0.902 2 and 1.312 1,respectively.Excellent classification and prediction precision were achieved.The overall results indicated that the new proposed SPA-LS-SVM is a powerful method for varieties recognition and SPAD prediction.This study supplied a new and alternative approach to the further application of Vis/NIR spectroscopy in on-field classification and monitoring.

关 键 词：可见/近红外光谱 转基因水稻叶片 叶绿素含量 连续投影算法 偏最小二乘-支持向量机 

分 类 号：O657.3[理学—分析化学]