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Prediction of the shelf-life of date seeds brew by integration of acceptability and quality indices


Citation

Mohammad Fikry and Yusof, Yus Aniza and Al-Awaadh, Alhussein M. and Abdul Rahman, Russly and Chin, Nyuk Ling (2020) Prediction of the shelf-life of date seeds brew by integration of acceptability and quality indices. Journal of Food Measurement and Characterization, 14 (3). 1158 - 1171. ISSN 2193-4126; ESSN: 2193-4134

Abstract

The storage shelf life of brews has become progressively important in recent years for the beverage’s manufacturers. The objectives of this study were to investigate the proximate composition and mineral contents of the proposed roasted date seeds powders, to model the kinetic changes in the properties of the brews during storage and to establish a predictive model for forecasting the shelf life by integration of consumer acceptability and quality attributes of the brews. Foremost, the chemical composition and mineral content analysis of both full fat and low-fat powders were investigated using the standard methods. The brews were prepared using hot water and then stored up to 30 days at 4, 25, 38 °C. Samples of brews were taken initially and after 2, 4, 6, 12, 18, 24 and 30 days for conducting pH measurement and sensory evaluation. Kinetic modelling for the properties were conducted by applying the nonlinear regression technique. Besides, the shelf life of the brews was predicted by integration of the acceptability and quality indicators. The results revealed that pH, H3O+ and sensory attributes of the brews were significantly influenced by the storage conditions. Descriptive models have been developed for describing the different properties and the shelf life of brews. In addition, the brews were microbiologically stable during the predicted shelf life period under different storage temperatures and times.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Faculty of Food Science and Technology
DOI Number: https://doi.org/10.1007/s11694-019-00365-4
Publisher: Springer
Keywords: Date seeds; Brew; Storage; Shelf life; Modelling
Depositing User: Mohamad Jefri Mohamed Fauzi
Date Deposited: 20 Jan 2022 08:50
Last Modified: 20 Jan 2022 08:50
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s11694-019-00365-4
URI: http://psasir.upm.edu.my/id/eprint/87244
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