Faculty of Science and Engineering, Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia.
Crit Rev Food Sci Nutr. 2023;63(13):1877-1900. doi: 10.1080/10408398.2021.1969533. Epub 2021 Aug 28.
Retention of quality attributes during drying of fruit and vegetables is a prime concern since the product's acceptability depends on the overall quality; particularly on the nutritional, color, and physical attributes. However, these quality parameters deteriorate during drying. Food quality changes are strongly related to the drying conditions and researchers have attempted to develop mathematical models to understand these relationships. A better insight toward the degradation of quality attributes is crucial for making real predictions and minimizing the quality deterioration. The previous empirical quality models employed kinetic modeling approaches to describe the quality changes and therefore, lack the realistic understanding of fundamental transport mechanisms. In order to develop a physics based mathematical model for the prediction of quality changes during drying, an in-depth understanding of research progress made toward this direction is indispensable. Therefore, the main goal of this paper is to present a critical review of the mathematical models developed and applied to describe the degradation kinetics of nutritional, color, and texture attributes during drying of fruit and vegetables and microbial growth model during storage. This review also presents the advantages and drawbacks of the existing models along with their industrial relevance. Finally, future research propositions toward developing physics-based mathematical model are presented.
保留水果和蔬菜在干燥过程中的品质属性是首要关注的问题,因为产品的可接受性取决于整体品质;特别是营养、颜色和物理属性。然而,这些质量参数在干燥过程中会恶化。食品质量的变化与干燥条件密切相关,研究人员已经尝试开发数学模型来理解这些关系。更好地了解质量属性的降解对于做出真实的预测和最小化质量恶化至关重要。以前的经验质量模型采用动力学建模方法来描述质量变化,因此缺乏对基本传输机制的实际理解。为了开发基于物理的数学模型来预测干燥过程中的质量变化,深入了解朝着这一方向取得的研究进展是必不可少的。因此,本文的主要目标是批判性地回顾为描述水果和蔬菜干燥过程中营养、颜色和质地属性的降解动力学以及储存过程中微生物生长模型而开发和应用的数学模型。本综述还介绍了现有模型的优缺点及其工业相关性。最后,提出了朝着开发基于物理的数学模型的未来研究建议。