现代食品科技2011，Vol.27Issue(3)：366-369,4.
近红外光谱分析技术测定芝麻水分含量的研究
Measurement of Moisture Content in Sesame by Near-infrared Spectroscopy
摘要
Abstract
The model of determining sesame moisture was built using near infrared spectroscopy (NIRS) and the FOSS system as the analyzer. The influences on the model of factors, such as the mathematics methods and optics treatment methods were studied. The calibrations of the moisture content in sesame were also performed. The results showed that the best factors were SNV only for optics treatment method and "2, 4, 4, 1" for mathematics method. The square error of cross (SEC), the average determination coefficient of validation (RSQ), the square error of cross validation (SECV), the correlation coefficient (1-VR), the average determination coefficient of validation (RSQ) and the standard error of prediction (SEP) were 0.0430, 0.9933, 0.1434, 0.9254, 0.941 and 0.238, respectively. This model could determine the moisture content in sesame used as a rapid and lossless method to detect the quality of sesame seeds.关键词
近红外光谱/芝麻/水分引用本文复制引用
郭蕊,王金水,金华丽,罗莉,闫李慧,谢安国..近红外光谱分析技术测定芝麻水分含量的研究[J].现代食品科技,2011,27(3):366-369,4.基金项目
河南省产业技术研究与开发项目(102109000007),河南省科技攻关项目 （102109000007）
