可见/近红外漫反射光谱预测磨盘柿成熟度  

Prediction of Maturity of Mopan persimmon Using Near Infrared Diffuse Reflectance Spectroscopy

作　　者：张鹏[1,2] 李江阔[2] 冯晓元[3] 王宝刚[3] 陈绍慧[2] 周志江[1] 

机构地区：[1]天津大学化工学院,天津300072 [2]国家农产品保鲜工程技术研究中心,天津市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：《食品研究与开发》2013年第11期91-94,共4页Food Research and Development

基　　金：国家"十二五"科技支撑项目(2012BAD38B01);天津市农业科学院院长基金项目(12004)

摘　　要：研究可见/近红外漫反射光谱技术根据果皮色泽a*来快速预测磨盘柿成熟度的方法。在全光谱区域对比分析不同处理方法对果皮色泽a*定标模型的影响。结果表明,应用改进偏最小二乘回归算法、一阶导处理和无散射处理所建果皮色泽a*定标模型的预测性能较优,其定标交互验证相关系数(Rc)v和预测相关系数(Rp2)分别为0.989 6和0.985,定标交互验证均方根误差(RMSECV)和预测均方根误差(RMSEP)分别为0.550 3和0.585 9,RPD为11.38。研究表明,可见/近红外漫反射技术对磨盘柿果皮色泽a*的快速无损预测具有可行性。Using visible and near infrared diffuse reflectance （VIS/NIR） spectroscopy to predict the method of Mopan persimmon maturity rapidly according to peel color a^＊ was studied. In the whole spectral region, calibration results for the peel color a^＊ of fruit were compared with different treatments methods. The results showed that the modified partial least squares （MPLS） model, with respect to the first derivative D1 log （1/R） and None, provided better prediction performance for the peel color a^＊ of fruit,with the correlation coefficient of cross validation of calibration （Roy）and correlation coefficient of prediction （Rp^2）, the root mean square error of cross validation of calibration （RMSECV） ,the root mean square error of prediction （RMSEP）,and ratio performance deviation （RPD） of 0.989 6,0.985,0.550 3,0.585 9 and 11.38 respectively. The preliminary research on the built models indicated that rapid nondestructive prediction of the peel color a^＊ of Mopan persimmon fruit using VIS/NIR spectroscopy technique was feasible.

关 键 词：磨盘柿 成熟度 可见 近红外漫反射光谱 果皮色泽a＊ 

分 类 号：S665.2[农业科学—果树学]