摘要
化学计量学在风味物质色谱重叠峰以及气质联用测定结果的处理方面应用广泛,能够解决一些传统的分析方法不能解决的问题,但在风味物质结构和活性关系方面的应用研究较少。本文综述化学计量学中的多元校正和多元分辨、小波变换、化学模式识别、人工神经网络以及遗传算法等方法在风味物质研究中的应用,以期为风味物质的研究提供一定的理论依据。
Chemometics is widely used for processing overlap peak from chromatogram and data from gas chromatography-mass spectrometry（GC-MS）,and its application can resolve the problems that can not be resolved by traditional analytical methods.However,the applications of chemometrics in structure-activity relationship of flavor substances are few.In this paper,the applications of chemometrics,such as multivariate calibration and discrimination,wavelet transform（WT）,chemical pattern recognition,artificial neural network（ANN） and genetic algorithm（GA） in the study of flavor substances are reviewed,which will provide some references for the study of flavor substances.
出处
《食品科学》
EI
CAS
CSCD
北大核心
2013年第5期313-317,共5页
Food Science
关键词
化学计量学
风味物质
应用
chemometrics
flavor substance
application
