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- Title
Aseptic Packaging of Wheat Bun and the Prediction of Shelf Life Using a BP Neural Network.
- Authors
Xuemeng Xu; Long Wang; Zhicong Sun; Ligen Wu
- Abstract
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.
- Subjects
ASEPTIC packaging; WHEAT; PREDICTION models; FORECASTING
- Publication
IAENG International Journal of Computer Science, 2021, Vol 48, Issue 4, p1129
- ISSN
1819-656X
- Publication type
Article