Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/39558
Type: Artigo de Periódico
Title: Mid infrared spectroscopy and chemometrics as tools for the classification of roasted coffees by cup quality
Authors: Ana Paula Craig
Bruno Gonçalves Botelho
Leandro Soares de Oliveira
Adriana Silva França
Abstract: Sensory (cup) analysis is a reliable methodology for green coffee quality evaluation, but faces barriers when applied to commercial roasted coffees due to lack of information on roasting conditions. The aim of this study was to examine the potential of mid-infrared spectroscopy for predicting cup quality of arabica coffees of different roasting degrees. PCA analysis showed separation of arabica and robusta. A two-level PLS-DA Hierarchical strategy was employed, with coffee being classified as high or low quality in the first level and then separated according to cup quality in the second level. Validation results showed that the second level models exhibited 100% sensitivity and specificity in the training sets. For the test set, sensitivity ranged from 67% (rio zona) to 100% (soft) while specificity ranged from 71% (rio) to 100% (rioysh, hard). Thus, the proposed method can be used for the quality evaluation of arabica coffees regardless of roasting conditions.
Subject: Tecnologia de alimentos
Café
language: eng
metadata.dc.publisher.country: Brasil
Publisher: Universidade Federal de Minas Gerais
Publisher Initials: UFMG
metadata.dc.publisher.department: FAR - DEPARTAMENTO DE ALIMENTOS
ICX - DEPARTAMENTO DE QUÍMICA
Rights: Acesso Restrito
metadata.dc.identifier.doi: 10.1016/j.foodchem.2017.11.066
URI: http://hdl.handle.net/1843/39558
Issue Date: 2017
metadata.dc.url.externa: https://www.sciencedirect.com/science/article/abs/pii/S030881461731885X?via%3Dihub
metadata.dc.relation.ispartof: Food Chemistry
Appears in Collections:Artigo de Periódico

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