Implementation of Chemometrics for Quality Control and Authentication of Meat and Meat Products
Authors: Ioannis S. Arvanitoyannis1; Maria van Houwelingen-Koukaliaroglou1
Source: Critical Reviews in Food Science and Nutrition, Volume 43, Number 2, March-April 2003 , pp. 173-218(46)
Publisher: Taylor and Francis Ltd
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Abstract:
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. Referee: Dr. Aris Gennadios, Ph.D. 4125 Premier Drive, High Point, NC 27265-8144 <kwdg><kwd>chemometrics<kwd>multivariate analysis<kwd>Principal Component Analysis<kwd>Canonical Analysis<kwd>Cluster analysis<kwd>meat<kwd>authentication<kwd>quality controlKeywords: chemometrics; multivariate analysis; Principal Component Analysis; Canonical Analysis; Cluster analysis; meat; authentication; quality control
Document Type: Research article
DOI: 10.1080/10408690390826482
Affiliations: 1: Department of Agriculture, Crop and Animal Production, School of Technological Sciences, University of Thessaly, Fytoko Str., 38446 Nea Ionia Magnesias, Volos, Hellas (Greece)
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