Use este identificador para citar ou linkar para este item: https://locus.ufv.br//handle/123456789/22620
Tipo: Artigo
Título: Developing predictive models for determining physical properties of coffee beans during the roasting process
Autor(es): Vanegas, Jaime Daniel Bustos
Corrêa, Paulo Cesar
Martins, Márcio Arêdes
Baptestini, Fernanda Machado
Campos, Renata Cássia
Oliveira, Gabriel Henrique Horta de
Nunes, Eduardo Henrique Martins
Abstract: This study aims to evaluate and model the variation in the physical properties of coffee beans in isothermal roasting conditions, providing mathematical expressions that can be used for heat and mass transfer models for coffee roasting. Arabica coffee beans were studied with an initial moisture content of 0.129 kgw kgdm−1 and roasted in a direct gas burning roaster. Five temperatures were set inside the cylinder (200, 220, 240, 260 and 280 °C). The beans were roasted uniformly by suspension in the center of the drum. A thermocouple recorded the temperature every 5 s. X-ray microtomography was used to analyze the evolution of the internal matrix during the roasting process. The moisture content and physical properties (volume, surface area, and density) of each coffee bean were evaluated every 20 s. Empirical models were fitted to represent the physical properties as a function of the moisture content. It was observed that the volumetric expansion is isotropic at roasting temperatures above 220 °C. The final bean volume can reach up to 1.8 times the initial volume. The bean density varied linearly with the moisture content, presenting a larger drop at a higher roasting temperature.
Palavras-chave: Bean density
Quality
X-ray microtomography
Mass loss
Editor: Industrial Crops and Products
Tipo de Acesso: 2017 Elsevier B.V. All rights reserved.
URI: https://doi.org/10.1016/j.indcrop.2017.12.015
http://www.locus.ufv.br/handle/123456789/22620
Data do documento: Fev-2018
Aparece nas coleções:Engenharia Agrícola - Artigos

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