“…So far, graphite furnace atomic absorption spectrometry (GFAAS), ame atomic absorption spectrometry (FAAS), inductively coupled plasma optical emission spectrometry (ICP-OES), inductively couple plasma mass spectrometry (ICP-MS) and high resolution mass spectrometry (HRMS) have been applied to determine the content of trace elements or stable isotope ratio, combined with supervised pattern recognition techniques, such as linear discriminant analysis (LDA), k-nearest neighbours (k-NN), support vector machine (SVM) and arti cial neural network (ANN), providing a useful tool for the differentiation of the geographical origin of products. From the reported studies in the literature, this strategy has been successfully applied to agricultural products (cereal 3 , wheat 4,5 , buckwheat 6 , rice 7,8 , onion 9,10 , sesame seed 11 , potato 12 , honey 13 , pumpkin seed oil 14 , chili pepper 15 , cocoa bean 16 , seafood (prawn 17 , sh 18 ), fruit (date palm 19 , Sechium edule fruit 20 , lemon juice 21 , meat (wild rabbit meat 22 , tea 23 , pork 24 ) and wine 25 .…”