Near-infrared spectroscopy and multivariate calibration as an alternative to the Agtron to predict roasting degrees in coffee beans and ground coffees.

Autor: Pires FC; Engineering Department, Federal University of Lavras (UFLA), Lavras, MG 37200-000, Brazil., Pereira RGFA; Engineering Department, Federal University of Lavras (UFLA), Lavras, MG 37200-000, Brazil. Electronic address: rosegfap@hotmail.com., Baqueta MR; Universidade Tecnológica Federal do Paraná (UTFPR), Campo Mourão, PR 87301-899, Brazil., Valderrama P; Universidade Tecnológica Federal do Paraná (UTFPR), Campo Mourão, PR 87301-899, Brazil. Electronic address: patriciav@utfpr.edu.br., Alves da Rocha R; Engineering Department, Federal University of Lavras (UFLA), Lavras, MG 37200-000, Brazil. Electronic address: roney.rocha@ufla.br.
Jazyk: angličtina
Zdroj: Food chemistry [Food Chem] 2021 Dec 15; Vol. 365, pp. 130471. Date of Electronic Publication: 2021 Jun 27.
DOI: 10.1016/j.foodchem.2021.130471
Abstrakt: Agtron method is widely used in the industry to determine roasting degrees in whole and ground coffee but it suffers from some inconveniences associated with unavailability of equipment, high cost, and lack of reproductive results. This study investigates the feasibility to determine roasting degrees in coffee beans and ground specialty coffees using near-infrared (NIR) spectroscopy combined with multivariate calibration based on partial least squares (PLS) regression. Representative data sets were considered to cover all Agtron roasting profiles for whole and ground coffees. Proper development of models with outlier evaluation and complete validation using parameters of merit such as accuracy, adjust, residual prediction deviation, linearity, analytical sensitivity, and limits of detection and quantification are presented to prove their performance. The results indicated that predictive chemometric models, for intact coffee beans and ground coffee, could be used in the coffee industry as an alternative to Agtron, thus digitalizing the roasting quality control.
(Copyright © 2021 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
Externí odkaz: