文摘
Thirteen metal elements were determined in 40 honey samples from Galicia with differentenvironmental origins: rural, urban, and industrial areas. The data set of the honey metallic profileswas studied with a double purpose: first, to make a preliminary evaluation of honey as anenvironmental indicator in Galicia with the aim of monitoring pollution and, second, to compare thedifferent capabilities of diverse pattern recognition prediction procedures for modeling the environmental surrounding of the hive. A certain level of similarity for urban and industrial samples wasobtained using principal component analysis and cluster analysis, whereas significant differencesfor urban and industrial honeys were found in relation to rural honey samples. Different classificationrules to associate metal content of honeys with their environmental surrounding were obtained bychemometric pattern recognition procedures. In general, the classification methods developed byneural networks provided better results than the traditional pattern recognition procedures. The metalprofiles of honey seem to provide sufficient information to enable categorization criteria for classifyingsamples according to their environmental surrounding. Thus, honey could be a potential pollutionindicator for the Galician area.