近红外光谱法快速鉴别成安草莓  

Rapid Identification of Cheng’an Strawberry with Near Infrared Spectroscopy

作　　者：庞艳苹[1] 刘坤[2] 闫军颖[1] 李佩珊[1] 

机构地区：[1]河北大学质量技术监督学院,河北保定071000 [2]唐山市产品质量监督检验所,河北唐山063000

出　　处：《现代食品科技》2013年第5期1160-1162,共3页Modern Food Science and Technology

基　　金：河北省科技支撑计划项目(12221003D)

摘　　要：为实现对成安草莓的快速鉴别,本文采集了不同产地草莓样品的近红外吸收光谱,选择不同的光谱范围,经二阶导数、一阶导数+矢量归一化、最小-最大归一化等预处理,利用因子化法、合格性测试和主成分分析法(PCA)建立了成安草莓的鉴别模型,并取样对该模型进行验证。结果表明:三种模式识别方法对于其他产地草莓的识别正确率高于93.3%,因此认为,采用近红外光谱结合模式识别技术可快速、准确地鉴别成安草莓的真伪。In order to determine the autnentaclty ot t21aeng＇an straw0erry, near ran＇area spectra of sample from curterent areas were aoopteo in the study. Near infrared spectra were pretreated with second derivate, first derivate, SNV and 5 points moving-smooth to set up a model of identification of samples based on factor analysis qualification testing and principal component analysis （PCA）. The results showed that the identifying rate of Cheng＇an strawberry from different area samples tested by three models on the basis of pattern recognition was greater than 93.3%. In conclusion, near-infrared spectroscopy pattern recognition technology had significant potential as a rapid and accurate method for identification of Cheng＇an strawberry.

关 键 词：近红外光谱 成安草莓 真伪鉴别 

分 类 号：S668.4[农业科学—果树学]