Characterization of Cherry Juices by Pattern Recognition Analysis

Abstract

Provenance analysis has become important role for controlling process of public health and environment. Multivariate data analysis is used most commonly to give information about similarities, relationships, origin of the species from different sources. In this study, eight different cherry juices available in the market in Turkey were analyzed for their metal content, total sugar, titratable acidity and pH. The results were examined by pattern recognition (PARC) techniques. It was showed that samples could be clustered into three groups including subgroups. By this way, some of the characteristics of the cherries like geographical origin, the production processes and environmental parameters were explained.