Development of predictive model for the novel ultra-accelerated shelf-life test (UASLT) for shelf-life of packaged beverage
Issued Date
2024-10-15
Resource Type
ISSN
00236438
Scopus ID
2-s2.0-85205443380
Journal Title
LWT
Volume
210
Rights Holder(s)
SCOPUS
Bibliographic Citation
LWT Vol.210 (2024)
Suggested Citation
Muniandy A., Benyathiar P., Ozadali F., Mishra D.K. Development of predictive model for the novel ultra-accelerated shelf-life test (UASLT) for shelf-life of packaged beverage. LWT Vol.210 (2024). doi:10.1016/j.lwt.2024.116686 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/101538
Title
Development of predictive model for the novel ultra-accelerated shelf-life test (UASLT) for shelf-life of packaged beverage
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Author's Affiliation
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Abstract
The novel Ultra-Accelerated Shelf-Life Test (UASLT), which uses oxygen pressure (239 kPa) and moderate temperature (40 °C), has been shown to degrade vitamins rapidly in packaged foods due to increased oxygen diffusivity. This method can help the food industry to commercialize their products faster. The study aimed to develop models for predicting the shelf-life of foods using the UASLT method based on vitamin degradation accelerated with increased temperature and oxygen diffusion. The predictive models used rate constant, k (day−1), from the 1st order degradation of vitamins A, C, and D3 in a model food to predict the shelf-life. The k values ranged from 0.080 to 0.088 day−1 for vitamin C, 0.048–0.051 day−1 for vitamin D3, and 0.051–0.054 day−1 for vitamin A at 22.5–40 °C. The models predicted the shelf-life of 321–353 days for vitamin C, 529–583 days for vitamin D3, and 404–551 days for vitamin A at 22.5 °C. This shows the potential for applying the predictive models with the UASLT method for predicting shelf-life.