title: Implementation of chemometrics for quality control and authentication of meat and meat products.
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.
authors.affiliation: Department of Agriculture, Crop and Animal Production, School of Technological Sciences, University of Thessaly, Fytoko Str., 38446 Nea Ionia Magnesias, Volos, Hellas, Greece. parmenion33@hotmail.com
authors.forename: Ioannis S
authors.initials: IS
authors.lastname: Arvanitoyannis
authors.forename: Maria
authors.initials: M
authors.lastname: van Houwelingen-Koukaliaroglou
mesh_terms: D000818:Animals; D002417:Cattle; D016002:Discriminant Analysis; D005511:Food Handling / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D008460:Meat / Q000145:classification / Q000706:statistics & numerical data*; D008461:Meat Products / Q000032:analysis / Q000592:standards / Q000706:statistics & numerical data*; D011200:Poultry; D011786:Quality Control; D013552:Swine