Quality prediction method in rice storage process
By simulating storage conditions and binary linear regression equations to fit the changes in rice fatty acid values and color, the problem of lack of efficient rice storage quality prediction in the existing technology is solved, efficient prediction of rice quality is achieved, and food safety is ensured.
CN119691401APending Publication Date: 2025-03-25NANJING UNIV OF FINANCE & ECONOMICS
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Patent Information
- Application Number
- CN202411845673.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-16
- Publication Date
- 2025-03-25
AI Technical Summary
Technical Problem
There is a lack of efficient methods in the prior art to predict the quality of rice storage, especially under extreme conditions, which affects the fatty acid value, color and edible safety of rice.
Method used
The quality of rice is predicted by packing rice in a vacuum packaging bag, simulating storage conditions, and using binary linear regression equations to fit the relationship between fatty acid value and color and storage time and temperature.
Benefits of technology
It realizes efficient and simple prediction of the quality during rice storage, and can calculate the shelf life of the product through the predicted fatty acid values, L values and B values, which is conducive to protecting people's health.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides a quality prediction method in a rice storage process, and belongs to the technical field of grain storage. The quality prediction method in the rice storage process comprises the following steps that rice is subpackaged into a plurality of vacuum packaging bags, one part of the vacuum packaging bags are vacuumized and sealed, the other part of the vacuum packaging bags are unsealed, the vacuum packaging bags are placed in an artificial climate box to be stored in a simulated mode, and the storage conditions are that the temperature is 25-40 DEG C, and the humidity is 80-90%; sampling, and detecting the fatty acid value and color; respectively performing binary linear regression equation fitting on the fatty acid value and the color with the storage time and the storage temperature to obtain a fatty acid value calculation formula and a color calculation formula; the method for predicting the quality of the rice in the storage process is efficient, simple and easy to operate.
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