Development of predictive model for the novel ultra-accelerated shelf-life test (UASLT) for shelf-life of packaged beverage

被引:1
作者
Muniandy, Anbuhkani [1 ]
Benyathiar, Patnarin [2 ]
Ozadali, Ferhan [1 ,3 ]
Mishra, Dharmendra K. [1 ,4 ]
机构
[1] Purdue Univ, Dept Food Sci, 745 Agr Mall Dr, W Lafayette, IN 47907 USA
[2] Mahidol Univ, Inst Nutr, 999 Putthamonthon Sai 4 Rd, Salaya 73170, Nakhon Pathom, Thailand
[3] Mead Johnson Nutr, 2400 W Lloyd Expy, Evansville, IN 47712 USA
[4] Mahidol Univ, Dept Food Technol, Kanchanaburi Campus, Kanchanaburi 71150, Thailand
基金
美国食品与农业研究所;
关键词
Ultra-accelerated shelf-life test (UASLT); Inverse problems; Shelf-stable food; Prediction model; KINETICS; DEGRADATION; JUICE; PALMITATE; STORAGE;
D O I
10.1016/j.lwt.2024.116686
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The novel Ultra-Accelerated Shelf-Life Test (UASLT), which uses oxygen pressure (239 kPa) and moderate temperature (40 degrees 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 degrees 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 degrees C. This shows the potential for applying the predictive models with the UASLT method for predicting shelf-life.
引用
收藏
页数:7
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