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Zhu GF, Vidyarthi SK, Zhou XQ, Zhang YL, Lei DW, Li LX, Shi JF, Chen PX, Xie QZ, Xiao HW. Multiphysical field and multiobjective mathematical modeling of grain-oilseed storage: Current status and future trends. Compr Rev Food Sci Food Saf 2024; 23:e13432. [PMID: 39289792 DOI: 10.1111/1541-4337.13432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 07/22/2024] [Accepted: 07/30/2024] [Indexed: 09/19/2024]
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.
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Affiliation(s)
- Guang-Fei Zhu
- 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
| | - Sriram K Vidyarthi
- Department of Biological and Agricultural Engineering, University of California, Davis, Davis, California, USA
| | - Xin-Qun Zhou
- 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
| | - Yong-Li Zhang
- 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
| | - Deng-Wen Lei
- College of Engineering, China Agricultural University, Beijing, China
| | - Lan-Xin Li
- Academy of Agricultural Planning and Engineering, Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Jian-Fang Shi
- 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
| | - Peng-Xiao Chen
- School of Food and Strategic Reserves, Henan University of Technology, Zhengzhou, China
| | - Qi-Zhen Xie
- 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
| | - Hong-Wei Xiao
- Department of Biological and Agricultural Engineering, University of California, Davis, Davis, California, USA
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Adnouni M, Jiang L, Zhang X, Zhang L, Pathare PB, Roskilly A. Computational modelling for decarbonised drying of agricultural products: Sustainable processes, energy efficiency, and quality improvement. J FOOD ENG 2023. [DOI: 10.1016/j.jfoodeng.2022.111247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Fathi F, N Ebrahimi S, Matos LC, P P Oliveira MB, Alves RC. Emerging drying techniques for food safety and quality: A review. Compr Rev Food Sci Food Saf 2022; 21:1125-1160. [PMID: 35080792 DOI: 10.1111/1541-4337.12898] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Revised: 12/01/2021] [Accepted: 12/08/2021] [Indexed: 11/27/2022]
Abstract
The new trends in drying technology seek a promising alternative to synthetic preservatives to improve the shelf-life and storage stability of food products. On the other hand, the drying process can result in deformation and degradation of phytoconstituents due to their thermal sensitivity. The main purpose of this review is to give a general overview of common drying techniques with special attention to food industrial applications, focusing on recent advances to maintain the features of the active phytoconstituents and nutrients, and improve their release and storage stability. Furthermore, a drying technique that extends the shelf-life of food products by reducing trapped water, will negatively affect the spoilage of microorganisms and enzymes that are responsible for undesired chemical composition changes, but can protect beneficial microorganisms like probiotics. This paper also explores recent efficient improvements in drying technologies that produce high-quality and low-cost final products compared to conventional methods. However, despite the recent advances in drying technologies, hybrid drying (a combination of different drying techniques) and spray drying (drying with the help of encapsulation methods) are still promising techniques in food industries. In conclusion, spray drying encapsulation can improve the morphology and texture of dry materials, preserve natural components for a long time, and increase storage times (shelf-life). Optimizing a drying technique and using a suitable drying agent should also be a promising solution to preserve probiotic bacteria and antimicrobial compounds.
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Affiliation(s)
- Faezeh Fathi
- Department of Phytochemistry, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, Evin, Tehran, Iran.,REQUIMTE/LAQV, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, Porto, Portugal
| | - Samad N Ebrahimi
- Department of Phytochemistry, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, Evin, Tehran, Iran
| | | | - M Beatriz P P Oliveira
- REQUIMTE/LAQV, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, Porto, Portugal
| | - Rita C Alves
- REQUIMTE/LAQV, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, Porto, Portugal
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Araujo MEV, Corrêa PC, Barbosa EG, Martins MA. Determination and modeling of physical and aerodynamic properties of coffee beans (
Coffea arabica
) during the drying process. J FOOD PROCESS PRES 2021. [DOI: 10.1111/jfpp.15698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
| | - Paulo Cesar Corrêa
- Department of Agricultural Engineering Federal University of Viçosa Viçosa Brazil
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Wei S, Xie W, Wang F, Yang D. Investigation on dielectric heterogeneity and radio frequency differential heating of corn kernels based on multicomponent structure. Lebensm Wiss Technol 2021. [DOI: 10.1016/j.lwt.2021.111360] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Kraiem A, Madiouli J, Sghaier J, Shigidi I. Significance of Bed Shrinkage on Heat and Mass Transfer During the Transport Phenomenon of Humid Air. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2021. [DOI: 10.1007/s13369-021-05444-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Silva-Vera W, Ramírez C, Pinto M, Simpson R, Almonacid S. Anisotropic diffusion assessment in salmon (salmo salar) composite muscle tissue: Theoretical and image-processing experimental approaches. FOOD AND BIOPRODUCTS PROCESSING 2020. [DOI: 10.1016/j.fbp.2020.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Wei S, Xiao B, Xie W, Wang F, Chen P, Yang D. Stress simulation and cracking prediction of corn kernels during hot-air drying. FOOD AND BIOPRODUCTS PROCESSING 2020. [DOI: 10.1016/j.fbp.2020.01.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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