Implementation of chemometrics for quality control and authentication of meat and meat products

被引：65

作者：

Arvanitoyannis, IS ^{[1
]}

van Houwelingen-Koukaliaroglou, M ^{[1
]}

机构：

[1] Univ Thessaly, Dept Agr Crop & Anim Prod, Sch Technol Sci, Nea Ionia 38446, Hellas, Greece

来源：

CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION | 2003年 / 43卷 / 02期

关键词：

chemometrics; multivariate analysis; principal component analysis; canonical analysis; cluster analysis; meat; authentication; quality control;

D O I：

10.1080/10408690390826482

中图分类号：

TS2 [食品工业];

学科分类号：

0832 ;

摘要：

Multivariate analysis has been established as a very powerful and effective tool in classifying and grouping individual products. Principal Component Analysis, Canonical analysis, Cluster and Partial Least Squares were found to be indispensable for classifying food products according to variety and/or geographical origin. Meat and meat products were correctly classified for authentication purposes to various groups following instrumental and/or sensory analyses.

引用

页码：173 / 218

页数：46

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