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粮油种子储存的多物理场和多目标数学建模:现状和未来趋势。

Multiphysical field and multiobjective mathematical modeling of grain-oilseed storage: Current status and future trends.

机构信息

Academy of Agricultural Planning and Engineering, Ministry of Agriculture and Rural Affairs, Beijing, China.

Key Laboratory of Agro-Products Primary Processing, Ministry of Agriculture and Rural Affairs, Beijing, China.

出版信息

Compr Rev Food Sci Food Saf. 2024 Sep;23(5):e13432. doi: 10.1111/1541-4337.13432.

DOI:10.1111/1541-4337.13432
PMID:39289792
Abstract

Storage is an important process involved in the postharvest treatment of grain-oilseed and is necessary for maintaining high quality and ensuring the long-term supply of these commodities in the food industry. Proper storage practices help prevent spoilage, maintain nutritional value, and preserve marketable quality. It is of great interest for storage to investigate flow, heat and mass transfer processes, and quality change for optimizing the operation parameters and ensuring the quality of grain-oilseed. This review discusses the mathematical models developed and applied to describe the physical field, biological field, and quality change during the storage of grain-oilseed. The advantages, drawbacks, and industrial relevance of the existing mathematical models were also critically evaluated, and an organic system was constructed by correlating them. Finally, the future research trends of the mathematical models toward the development of multifield coupling models based on biological fields to control quality were presented to provide a reference for further directions on the application of numerical simulations in this area. Meanwhile, artificial intelligence (AI) can greatly enhance our understanding of the coupling relationships within grain-oilseed storage. AI's strengths in both qualitative and quantitative analysis, as well as its effectiveness, make it an invaluable tool for this purpose.

摘要

储存是粮油产后处理的一个重要环节,对于保持粮油的高质量和确保食品工业的长期供应是必要的。适当的储存方法有助于防止变质、保持营养价值和保持可销售的质量。研究粮油储存过程中的流动、传热和传质以及质量变化对于优化操作参数和确保粮油质量具有重要意义。本综述讨论了为描述粮油储存过程中的物理场、生物场和质量变化而开发和应用的数学模型。还对现有数学模型的优缺点和工业相关性进行了批判性评估,并通过关联它们构建了一个有机系统。最后,提出了基于生物场的多场耦合模型开发的数学模型的未来研究趋势,以控制质量,为该领域数值模拟的进一步应用方向提供参考。同时,人工智能(AI)可以极大地增强我们对粮油储存中耦合关系的理解。AI 在定性和定量分析方面的优势及其有效性使其成为该领域的宝贵工具。

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