磨盘柿可溶性固形物的可见/近红外漫反射光谱无损检测  

Nondestructive Determination of Soluble Solid Content in Mopan persimmon by Visible and Near-infrared Diffuse Reflection Spectroscopy

作　　者：张鹏[1,2] 李江阔[2] 孟宪军[1] 张平[2] 王宝刚[3] 冯晓元[3] 

机构地区：[1]沈阳农业大学食品学院,辽宁沈阳110161 [2]国家农产品保鲜工程技术研究中心,天津农产品采后生理与贮藏保鲜重点实验室,天津300384 [3]北京市农林科学院林业果树研究所,北京100093

出　　处：《食品科学》2011年第6期191-194,共4页Food Science

基　　金：“十一五”国家科技支撑计划项目(2006BAD30B01)

摘　　要：研究可见/近红外漫反射光谱技术快速检测磨盘柿可溶性固形物的方法。在可见/近红外光谱区域(570～1848nm),对比分析不同数学建模算法、不同导数处理方法和不同散射及标准化处理的果实可溶性固形物定标模型。结果表明:应用改进偏最小二乘回归算法、一阶导处理和去散射处理所建果实可溶性固形物定标模型的预测性能较优,其定标交互验证相关系数(Rcv)和预测相关系数(Rp2)分别为0.8076和0.8085,定标交互验证均方根误差(RMSECV)和预测均方根误差(RMSEP)分别为0.4546°Brix和0.4482°Brix。这表明,可见/近红外漫反射技术对磨盘柿可溶性固形物的快速无损检测具有可行性。The method of visible and near-infrared diffuse reflection（VIS/NIR） spectroscopy was used to rapidly determine soluble solid content（SSC） of intact Mopan persimmon fruits.In spectral region between 570 nm and 1848 nm,calibration results for the SSC of fruits were compared with different regression techniques,different derivative treatments and different scatter and standard treatments.The results indicated that the modified partial least squares（MPLS） model with the first derivative D1 log（1/R） processing and disscattering treatment provided better prediction performance for the SSC in fruits.The correlation coefficient of cross validation（Rcv）,correlation coefficient of prediction（Rp2）,root-mean-square error of cross-validation（RMSECV） and root-mean-square error of prediction（RMSEP） were 0.8076,0.8085,0.4546 °Brix and 0.4482 °Brix,respectively.These results confirmed that it is feasible to use the established VIS/NIR spectroscopy model for the nondestructive determination of the SSC in Mopan persimmon fruits.

关 键 词：可见/近红外漫反射光谱 磨盘柿 可溶性固形物(SSC) 改进偏最小二乘法 一阶导光谱 

分 类 号：S665.2[农业科学—果树学]