Characterization of Brazilian coffee based on isotope ratio mass spectrometry (δ13C, δ18O, δ2H, and δ15N) and supervised chemometrics

Chuan yi Peng, Yan ling Zhang, Wei Song, Hui mei Cai, Yijun Wang, Daniel Granato

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number124963
Pages (from-to)124963
JournalFood Chemistry
Volume297
DOIs
Publication statusPublished - 1 Nov 2019
Externally publishedYes

Keywords

  • Discriminant analysis
  • Food authenticity
  • K-nearest neighbors
  • Organic system
  • Supervised statistical methods
  • Support vector machines

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