食品与发酵工业2013，Vol.39Issue(6)：169-173,5.
基于质谱与化学计量学的浓香型白酒等级鉴别
Grade discrimination of strong aroma typeliquor based on mass spectrometry and chemometrics
摘要
Abstract
Grade discrimination of Chinese hquor was benefit for controlling liquor quality and safeguarding the interests of consumers.In the study,the abundance of ions mass-to-charge ratio (m/z) ranging from 55 to 191 of 120 Yanghe Daqu liquor samples were easily collected by the headspace (HS)-solid phase microextraction (SPME)-mass spectrometry (MS) technique,without pre-treatment or chromatographic separation.By combination of partial least squares discriminant analysis (PLS-DA) and stepwise linear discriminant analysis (SLDA) method,14 characteristic ions were finally picked out and the prediction accuracy of cross validation was up to 100％.And then an artificial neural network (ANN) recognition model using the 14 ions as inputs and different grades as outputs was built,whose prediction accuracy was up to 100％ within the error range of ±0.3.关键词
等级鉴别/顶空固相微萃取质谱/偏最小二乘-判别分析/逐步线性判别分析/神经网络Key words
grade discrimination/headspace-solid phase microextraction-mass spectrometry, partial least squares discriminant analysis (PLS-DA)/ stepwise linear discriminant analysis (SLDA)/ artificial neural network (ANN)引用本文复制引用
程平言,范文来,徐岩..基于质谱与化学计量学的浓香型白酒等级鉴别[J].食品与发酵工业,2013,39(6):169-173,5.基金项目
国家高技术研究发展计划(863计划)(No.2013AA102108) （863计划）
