食品工业科技2012，Vol.33Issue(3)：322-325,4.
基于近红外光谱技术的大米品质分析与种类鉴别
Quality analysis and category identification of rice based on the near infrared spectroscopy（NIRS）
摘要
Abstract
The methods for rice eating quality analysis and category identification of rice were established based on the near infrared spectroscopy（NIRS）.A total number of 102 rice samples from different origins with different category were collected,and the crushed rice samples were applied for near infrared spectra collection.Quantitative analysis models of rice moisture,protein and amylose were developed by partial least square（PLS）.The accuracy of the prediction result was evaluated.Internal cross-validation decided coefficient（R2） of prediction model was 0.992,0.9792 and 0.9736,respectively.Internal cross-validation RMSECV was 0.141,0.201and 0.209,respectively.External validation determination coefficient（R2） of model was 0.9861,0.912 and 0.9373,respectively.External validation RMSEP was 0.179,0.206 and 0.243,respectively.The differences among samples could be tested by calculation of the euclidean distance between near infrared spectra of samples.The differences of category of rice samples were evaluated by cluster analysis.The accurate for the category identification reached to 100%.Results showed that NIRS,a rapid and non-destructive analytical technique,can be used for rice quality and category analysis.关键词
近红外光谱/大米/偏最小二乘法/品质分析/聚类分析/种类鉴别Key words
near infrared reflectance spectra（NIRS）/rice/partial least squares algorithm（PLS）/quality analysis/clustering analysis/category identification分类
轻工纺织引用本文复制引用
吕慧,张正竹,王胜鹏,戚丽,林茂先..基于近红外光谱技术的大米品质分析与种类鉴别[J].食品工业科技,2012,33(3):322-325,4.基金项目
安徽省优秀青年基金 （）
