Developments of mathematical models for simulating vacuum cooling processes for food products - a review.

Vacuum cooling is a rapid cooling method widely used in cooling some food products. Simulating the vacuum cooling process with mathematical models helps to acquire a more intuitive understanding and optimize the whole cooling process. However, there is no review summarizing the mathematical models o...

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Publicado en:Critical Reviews in Food Science & Nutrition Vol. 59; no. 5; pp. 715 - 728
Autores principales: Zhu, Zhiwei, Li, Ying, Sun, Da-Wen, Wang, Hsiao-Wen
Formato: review Journal Article
Publicado: Taylor & Francis Ltd 2019
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Developments of mathematical models for simulating vacuum cooling processes for food products - a review.
      aug:
        au:
          Zhu, Zhiwei
          Li, Ying
          Sun, Da-Wen
          Wang, Hsiao-Wen
        affil: School of Food Science and Engineering, South China University of Technology, Guangzhou, China
      sug:
        subj:
          Cold
          Models, Theoretical
          Food Preservation Methods
          Vacuum
          Meat
          Animals
          Vegetables
          Time Factors
          Physics
      ab: Vacuum cooling is a rapid cooling method widely used in cooling some food products. Simulating the vacuum cooling process with mathematical models helps to acquire a more intuitive understanding and optimize the whole cooling process. However, there is no review summarizing the mathematical models of vacuum cooling. In this review, heat and mass transfer process during vacuum cooling, types of mathematical models for vacuum cooling, and numerical methods including finite difference method, finite element method and finite volume method used for process simulation are introduced in details. The food products used in numerical simulation study of vacuum cooling generally include liquid food, vegetables and cooked meat. The ranges of application of various numerical methods are also discussed. Moreover, heat and mass transfer coefficients have a great influence on the accuracy of the model, and are generally provided by the literature. The investigations presented in this review invariably demonstrate that mathematical modeling can provide good prediction of key information of vacuum cooling process, and has a great potential to improve vacuum cooling process in the food industry. However, more efforts are still needed to realize the industrial translation of laboratory results.
      pubtype: Academic Journal
      doctype:
        review
        Journal Article
      ougenre: Article
    language: English
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