乳业科学与技术2012，Vol.35Issue(2)：34-37,4.
基于傅里叶变换红外光谱技术和软独立模式分类法的牛奶分类识别
Discrimination of Milk by FTIR and Soft Independent Modeling of Class Analogy
穆海波 1殷秀秀 2艾连中 1顾小红3
作者信息
- 1. 光明乳业股份有限公司乳业生物技术国家重点实验室,上海200436
- 2. 江南大学食品科学与技术国家重点实验室,江苏无锡214122 江南大学食品学院,江苏无锡214122
- 3. 江南大学食品科学与技术国家重点实验室,江苏无锡214122
- 折叠
摘要
Abstract
Fourier transform infrared spectroscopy（FTIR） combined with soft independent modeling of class analogy（SIMCA） method was employed to the identification of different varieties of milk.The optimized PCA model was built by leave-one-out cross-validation（LOOCV） method after series of pre-treatments such as baseline correction and Savitzky-Golay smoothing in the region of 3100 — 850 cm-1.Under the α =5% significance level,the identification rates of this model for pure milk,low lactose milk,low fat milk and high protein milk were 80%,80%,100% and 80%,respectively,and the rejection rates were 93%,100%,100% and 93%,respectively.This indicates that FTIR combined with SIMCA is a valid method for rapid identification of different varieties of milk.关键词
傅里叶变换红外光谱法/软独立模式分类法/牛奶/模式识别Key words
FTIR/SIMCA/milk/pattern recognition分类
轻工纺织引用本文复制引用
穆海波,殷秀秀,艾连中,顾小红..基于傅里叶变换红外光谱技术和软独立模式分类法的牛奶分类识别[J].乳业科学与技术,2012,35(2):34-37,4.
