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Characterization of Brazilian coffee based on isotope ratio mass spectrometry (δ13C, δ18O, δ2H, and δ15N) and supervised chemometrics.
Peng, Chuan-Yi; Zhang, Yan-Ling; Song, Wei; Cai, Hui-Mei; Wang, Yijun; Granato, Daniel.
Affiliation
  • Peng CY; State Key Laboratory of Tea Plant Biology and Utilization/School of Tea & Food Science and Technology, Anhui Agricultural University, Hefei 230036, Anhui, People's Republic of China.
  • Zhang YL; State Key Laboratory of Tea Plant Biology and Utilization/School of Tea & Food Science and Technology, Anhui Agricultural University, Hefei 230036, Anhui, People's Republic of China.
  • Song W; Hefei Customs District/Anhui Province Key Lab of Analysis and Detection for Food Safety, Hefei 230022, Anhui, People's Republic of China.
  • Cai HM; State Key Laboratory of Tea Plant Biology and Utilization/School of Tea & Food Science and Technology, Anhui Agricultural University, Hefei 230036, Anhui, People's Republic of China.
  • Wang Y; State Key Laboratory of Tea Plant Biology and Utilization/School of Tea & Food Science and Technology, Anhui Agricultural University, Hefei 230036, Anhui, People's Republic of China. Electronic address: yijun@ahau.edu.cn.
  • Granato D; Department of Food Engineering, State University of Ponta Grossa, Av. Carlos Cavalcanti, 4748, 84030-900, Ponta Grossa, Brazil. Electronic address: dgranato@uepg.br.
Food Chem ; 297: 124963, 2019 Nov 01.
Article in En | MEDLINE | ID: mdl-31253305
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Mass Spectrometry / Coffee / Food Analysis Country/Region as subject: America do sul / Brasil Language: En Journal: Food Chem Year: 2019 Document type: Article Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Mass Spectrometry / Coffee / Food Analysis Country/Region as subject: America do sul / Brasil Language: En Journal: Food Chem Year: 2019 Document type: Article Country of publication: United kingdom