Estimation of coffee shelf life under accelerated storage conditions using mathematical models - Systematic review

María Alina Cueva Ríos, Frank Fernández Rosillo, Lenin Quiñones Huatangari and Eliana Milagros Cabrejos Barrios
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María Alina Cueva Ríos: Institute of Food Science and Technology, National University of Jaén, Jaén, Peru
Frank Fernández Rosillo: Institute of Food Science and Technology, National University of Jaén, Jaén, Peru
Lenin Quiñones Huatangari: Data Science Research Institute, National University of Jaén, Jaén, Peru
Eliana Milagros Cabrejos Barrios: Institute of Food Science and Technology, National University of Jaén, Jaén, Peru

Czech Journal of Food Sciences, 2023, vol. 41, issue 2, 92-102

Abstract: The shelf life of a food product is a finite period after manufacturing and packaging, during which it retains a required and acceptable level of quality for consumption. The objective was to characterise and describe the transparent and comprehensible processing process to collect, select, critically evaluate and summarise available evidence regarding the use of mathematical models in the estimation of the shelf life of coffee under accelerated storage conditions. Of the 183 articles identified, nine studies were included in the review: four evaluated various types of packaging containing roasted and ground coffee, three coffee-based beverages, one infusion and one in bean format; the models frequently used were Weibull-Hazard Analysis, first-order, and zero-order kinetic model, which requires the decay kinetic constant, the same as that acquired by the Arrhenius model or a proposed model. Quality descriptors and mathematical models have been identified that allow estimating the shelf life of coffee and its derivative products under accelerated storage conditions, in addition to primary sources with experimental designs.

Keywords: coffee variety; modelling coffee; prediction; accelerated shelf-life testing; packaging (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlcjf:v:41:y:2023:i:2:id:163-2022-cjfs

DOI: 10.17221/163/2022-CJFS

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