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Food Chem ; 297: 124963, 2019 Nov 01.
Article in English | MEDLINE | ID: mdl-31253305

ABSTRACT

Authentication of ground coffee has become an important issue because of fraudulent activities in the sector. In the current work, sixty-seven Brazilian coffees produced in different geographical origins using organic (ORG, n = 25) and conventional (CONV, n = 42) systems were analyzed for their stable isotope ratios (δ13C, δ18O, δ2H, and δ15N). Data were analyzed by inferential analysis to compare the factors whereas linear discriminant analysis (LDA), k-nearest neighbors (k-NN), and support vector machines (SVM) were used to classify the coffees based on their origin. ORG and CONV cultivated coffees could not be differentiated according to C stable isotope ratio (δ13C; p = 0.204), but ORG coffees presented higher values of the N stable isotope ratio (δ15N; p = 0.0006). k-NN presented the best classification results for both ORG and CONV coffees (87% and 67%, respectively). SVM correctly classified coffees produced in São Paulo (75% accuracy), while LDA correctly classified 71% of coffees produced in Minas Gerais.


Subject(s)
Coffee/chemistry , Food Analysis/methods , Mass Spectrometry/methods , Brazil , Carbon Isotopes/analysis , Deuterium/analysis , Discriminant Analysis , Food Analysis/statistics & numerical data , Mass Spectrometry/statistics & numerical data , Nitrogen Isotopes/analysis , Organic Agriculture , Oxygen Isotopes/analysis , Support Vector Machine
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