| Literature DB >> 30263720 |
Aline Theodoro Toci1, Marcos Vinícius de Moura Ribeiro2, Paulo Roberto Aparecido Bueno de Toledo2, Nivaldo Boralle2, Helena Redigolo Pezza2, Leonardo Pezza2.
Abstract
With globalization, it has become necessary to adopt policies to regulate the coffee market, addressing problems including the authenticity and traceability of products. It is therefore important to establish methodologies that can help to safeguard the interests of producer countries and add value to products. For this purpose, the use of NMR combined with multivariate statistical procedures can be an attractive option. The aim of this study was to develop a fast and effective technique, using 1H NMR coupled with multivariate statistics, to create a fingerprint of roasted coffees, distinguishing them according to the main Brazilian producer regions. Several compounds suitable for differentiating roasted coffees were identified in the fingerprint. Discriminant analysis revealed good distinction among the samples. The compounds catechol, trigonelline, caffeine, and n-methylpyridine were most important for the differentiation. The findings should assist coffee-producing countries in adopting measures to protect their markets and to add value to coffee products.Entities:
Keywords: Authenticity; Coffee; Discriminant analysis; Fingerprint; NMR; Traceability
Year: 2017 PMID: 30263720 PMCID: PMC6049739 DOI: 10.1007/s10068-017-0243-7
Source DB: PubMed Journal: Food Sci Biotechnol ISSN: 1226-7708 Impact factor: 2.391