Origin geographical classification of green coffee beans (Coffea a rabica L.) produced in different regions of the Minas Gerais state by FT-MIR and chemometric

Geissy de Azevedo Mendes; Marcone Augusto Leal de Oliveira; Mirian Pereira Rodarte; Virgílio de Carvalho Dos Anjos; Maria Jose Valenzuela Bell

doi:10.1016/j.crfs.2022.01.017

Origin geographical classification of green coffee beans (Coffea a rabica L.) produced in different regions of the Minas Gerais state by FT-MIR and chemometric

Curr Res Food Sci. 2022 Jan 31:5:298-305. doi: 10.1016/j.crfs.2022.01.017. eCollection 2022.

Authors

Geissy de Azevedo Mendes¹, Marcone Augusto Leal de Oliveira², Mirian Pereira Rodarte³, Virgílio de Carvalho Dos Anjos¹, Maria Jose Valenzuela Bell¹

Affiliations

¹ Department of Physics, Institute of Exact Sciences, Federal University of Juiz de Fora, Rua José Lourenço Kelmer, s/n São Pedro, 36036-900, Juiz de Fora, MG, Brazil.
² Department of Chemistry, Institute of Exact Sciences, Federal University of Juiz de Fora, Rua José Lourenço Kelmer, s/n São Pedro, 36036-900, Juiz de Fora, MG, Brazil.
³ Department of Pharmaceutical Sciences, Faculty of Pharmacy, Federal University of Juiz de Fora, Rua José Lourenço Kelmer, s/n São Pedro, 36036-900, Juiz de Fora, MG, Brazil.

Abstract

The present work was proposal the potential evaluation of Fourier-Transform Mid-Infrared (FT-MIR) associated with chemometric approach in green beans, in order to discriminate the origin of special Arabica coffees in a single state that has heterogeneous environments. Partial Least Squares Discriminant Analysis (PLS-DA) model presented as result: 3 latent variables, $R^{2} X$ (cum) = 0.892, $R^{2} Y$ (cum) = 0.659; $Q^{2} Y$ (cum) = 0.494, RMSEP = 0.182387, p-value CV-Anova = 0.009, 100% of both sensitivity and specificity and the prediction classification obtained was: 100, 83.33, 100, 83.33% for class 1, class 2, class 3 and class 4, respectively. These results can be considered adequate for the proposed hypothesis. The obtained results that the regions have markers such as trigonelline, chlorogenic and fatty acids, sensitive to absorption in the mid-infrared and that are able to determine the origin of green coffee beans of Arabica. Thus, the FT-MIR associated with chemometrics has the potential to employ speed, modernity and cost reduction in the certification of origin of coffees.

Keywords: Chemometry; Coffee; FT-MIR; Food authentication; PLS-DA.