Raman spectroscopy for the differentiation of Arabic coffee genotypes

Luisa Pereira Figueiredo; Flávio Meira Borém; Mariana Ramos Almeida; Luiz Fernando Cappa de Oliveira; Ana Paula de Carvalho Alves; Cláudia Mendes Dos Santos; Paula Almeida Rios

doi:10.1016/j.foodchem.2019.02.093

Raman spectroscopy for the differentiation of Arabic coffee genotypes

Food Chem. 2019 Aug 1:288:262-267. doi: 10.1016/j.foodchem.2019.02.093. Epub 2019 Feb 28.

Authors

Luisa Pereira Figueiredo¹, Flávio Meira Borém², Mariana Ramos Almeida³, Luiz Fernando Cappa de Oliveira⁴, Ana Paula de Carvalho Alves², Cláudia Mendes Dos Santos⁵, Paula Almeida Rios⁶

Affiliations

¹ Departamento de Ciência dos Alimentos, Universidade Federal de Lavras, P.O. Box: 3037, Lavras, MG 37200-000, Brazil. Electronic address: luisa.figueiredo@ufla.br.
² Departamento de Engenharia, Universidade Federal de Lavras, P.O. Box: 3037, Lavras, MG 37200-000, Brazil.
³ Departamento de Química, Universidade Federal de Minas Gerais, Av. Antônio Carlos, n° 6627, Belo Horizonte, MG 31270-901, Brazil.
⁴ Departamento de Química, Universidade Federal de Juiz de Fora, Rua José Lourenço Kelmer, s/n - Campus Universitário, Juiz de Fora, MG 36036-900, Brazil. Electronic address: luiz.oliveira@ufjf.edu.br.
⁵ Departamento de Engenharia, Universidade Federal de Lavras, P.O. Box: 3037, Lavras, MG 37200-000, Brazil. Electronic address: claumsantos@yahoo.com.br.
⁶ Departamento de Engenharia, Universidade Federal de Lavras, P.O. Box: 3037, Lavras, MG 37200-000, Brazil. Electronic address: paulariosagricola@gmail.com.

PMID: 30902291
DOI: 10.1016/j.foodchem.2019.02.093

Abstract

The objective of this study was to evaluate the ability of Raman spectroscopy to identify the genotype of green coffee beans. Four genotypes of Arabic coffee: one Mundo Novo line (G1) and three Bourbon lines (G2, G3, and G4). The harvest was selected using a wet processing method. Raman spectra of the samples were obtained using a FT-Raman RFS/100 spectrometer in the spectral range of 3500-400 cm^-1. The data were treated using chemometric unsupervised classification tools and supervised analysis. Using the unsupervised analysis (PCA), the apparent tendency of agglomeration between samples G1 and G3 was verified. These differences were present in the spectral bands that are characteristic of fatty acids and kahweol. Based on this information, a classification model to discriminate (PLS-DA) the Mundo Novo and Bourbon samples was utilized. Raman spectroscopy allowed the building of an adequate model to differentiate between coffee genotypes.

Keywords: Chemometric analyses; Coffea Arabica L.; Fatty acids; Kahweol; PCA; PLS-DA.

MeSH terms

Coffea / chemistry
Coffea / genetics*
Coffea / growth & development
Discriminant Analysis
Diterpenes / chemistry
Genotype
Least-Squares Analysis
Principal Component Analysis
Seeds / genetics
Spectrum Analysis, Raman*

Substances

Diterpenes
kahweol