“…So far, graphite furnace atomic absorption spectrometry (GFAAS), flame 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 artificial 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 6 , wheat 7 , 8 , buckwheat 9 , rice 10 , 11 , onion 12 , 13 , sesame seed 14 , potato 15 , honey 16 , pumpkin seed oil 17 , chili pepper 18 , cocoa bean 19 , seafood (prawn 20 , fish 21 ), fruit (date palm 22 , Sechium edule fruit 23 , lemon juice 24 , meat (wild rabbit meat 25 , tea 26 , pork 27 ) and wine 28 .…”