Raman spectroscopy for the differentiation of Arabic coffee genotypes
| Autor: | Luiz Fernando Cappa de Oliveira, Paula de Almeida Rios, Luisa Pereira Figueiredo, Mariana R. Almeida, Flávio Meira Borém, Cláudia Mendes dos Santos, Ana Paula de Carvalho Alves |
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| Rok vydání: | 2018 |
| Předmět: |
Genotype
Arabic Coffea Spectrum Analysis Raman 01 natural sciences Analytical Chemistry symbols.namesake chemistry.chemical_compound 0404 agricultural biotechnology Food science Least-Squares Analysis Green coffee Mathematics Kahweol Principal Component Analysis 010401 analytical chemistry Discriminant Analysis 04 agricultural and veterinary sciences General Medicine Spectral bands 040401 food science language.human_language 0104 chemical sciences Processing methods chemistry Seeds language symbols Diterpenes Raman spectroscopy Food Science |
| Zdroj: | Food chemistry. 288 |
| ISSN: | 1873-7072 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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