晚蜜桃贮藏品质的近红外漫反射检测研究  

Measurement of quality in peach during storage by near-infrared diffuse reflectance

作　　者：王宝刚[1,2] 蔡宋宋[1] 冯晓元[1] 李文生[1] 王纪华 

机构地区：[1]北京农产品质量检测与农田环境监测技术研究中心,北京100097 [2]北京市农林科学院林业果树研究所,北京100093

出　　处：《食品科技》2010年第8期302-306,共5页Food Science and Technology

基　　金：北京市科委项目(Z080005032508024;Z09090501040901);北京市农林科学院青年科研基金项目

摘　　要：以晚蜜桃为材料,研究其贮藏品质的近红外漫反射无损检测模型的建立方法。研究发现,采用4个测试部位光谱混合建立模型,可降低预测误差;对于可溶性固形物和硬度,混合阶段模型对各时期样品的预测效果均优于不同阶段的独立模型,预测决定系数达0.9,预测均方根误差分别在0.3～0.4和1.3～1.9之间,相对分析误差在2.6～3.4之间;对于可滴定酸,各阶段分析模型只能进行粗略分析。结果表明近红外漫反射及时评价桃贮藏品质的变化具有可行性。Calibration model for internal quality in peach fruit during storage was developed by near-infrared diffuse reflectance.Results showed that the predicted error of validation set was decreased with the model constructed by merging four testing positions spectrums of each sample.Soluble solids content and firmness could be predicted very well with calibration model of global stage based on several stages,which were better than independent model of different stages.The results,based on prediction for 48 unknown samples,were 0.9,0.3～0.4（soluble solids content） and 1.3～1.9（firmness）,and 2.6～3.4 for coefficients of determination,root mean square error of prediction and the ratio performance deviation,respectively.For titratable acidity,samples were coarsely predicted with the calibration model of different stages.The results indicate that it is available to use near-infrared diffuse reflectance for evaluating the changes of quality in peach during storage.

关 键 词：桃 近红外 贮藏 可溶性固形物 可滴定酸 硬度 

分 类 号：TS255.7[轻工技术与工程—农产品加工及贮藏工程]