Vedecký časopis

46 2007

Journal of Food and Nutrition Research
Súhrny čísla 4 / 2007

Identification of cheese species origin by pattern recognition processing of elemental data
Journal of Food and Nutrition Research, 46, 2007, č. 4, s. 174-180

Milan Suhaj, Department for Analysis of Food, VÚP Food Research Institute, Priemyselná 4, SK - 824 75 Bratislava 26, Slovakia. E-mail: milan.suhaj@vup.sk, tel.: +421-2-50237146, fax: +421-2-55571417

Súhrn: Pattern recognition techniques - cluster, principal component, factor and canonical discriminant analysis, were used for differentiation of cheese species using such elemental markers as Ba, Cr, Cu, Hg, Mg, Mn, Ni and V. Cluster analyses showed some preliminary results intimated partial species differentiation of cheeses. Principal component and factor analysis appeared to be effective methods not only for data visualisation but for efficient differentiation of cow and sheep cheese species as well. Canonical discriminant analysis demonstrated a 95% potential to distinguish differences and correct classification of cheese species according to the used specific elemental data.

Kľúčové slová: species origin; cow cheese; sheep cheese; elemental markers; pattern recognition

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