| Autor: |
Xuemeng Xu, Long Wang, Zhicong Sun, Ligen Wu |
| Předmět: |
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| Zdroj: |
IAENG International Journal of Computer Science; Dec2021, Vol. 48 Issue 4, p1129-1134`, 6p |
| Abstrakt: |
The aim of this study was to investigate a wheat bun aseptic packaging technology and to develop a BP neural network to predict shelf life. This study can be considered to be a technical reference for the industrial production of bun. After cooling and ultra-violet sterilization, steamed buns were packaged aseptically. Then buns were exposed to 3.0 kGy doses of Cobalt-60 gamma irradiation for 120 seconds. The aseptically packaged buns were then stored at 4°C and 15°C respectively. The bacterial count, textural characteristics, and color of samples under different storage conditions were measured at different times. The results showed that the shelf life of bun stored at 15°C and 4°C was 10 days and 20 days, respectively. A predictive shelf-life model based on back-propagation neural network predicted the shelf lives of aseptically packaged bun stored at 4°C or 15°C with 99.4% accuracy. This BP neural network provides a theoretical basis for the prediction of shelf life of industrial produced bun. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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