| Literature DB >> 30902291 |
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.
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.Entities:
Keywords: Chemometric analyses; Coffea Arabica L.; Fatty acids; Kahweol; PCA; PLS-DA
Mesh：
Substances：
Year: 2019 PMID： 30902291 DOI： 10.1016/j.foodchem.2019.02.093
Source DB: PubMed Journal: Food Chem ISSN： 0308-8146 Impact factor: 7.514