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Publishing Language: Chinese | Open Access

Analyzing Water Diffusion Properties in Dough Film Based on the Free Volume Theory

Xuewei ZHAO1,2 Yi YANG1Zhiqiang FENG3Qiong ZHAO3Xingli LIU1,2Wangming LI4Hua ZHANG1,2 ( )
College of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China
Henan Key Laboratory of Cold Chain Food Quality and Safety Control, Zhengzhou 450001, China
Sanquan Foods Co. Ltd., Zhengzhou 450044, China
College of Food Science and Engineering, Zhengzhou University of Science and Technology, Zhengzhou 450064, China
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Abstract

The water adsorption process by dough films at 20 and 40 ℃ was measured using a dynamic vapor sorption system under nine relative humidity (RH) levels. Water diffusivity was expressed as a function of water content and temperature according to the Vrentas & Duda free volume theory. The parameters of the free volume model were obtained by inversion of water content as a function of time. The results showed that the water diffusion coefficient determined based on the free volume theory could well simulate the water adsorption process by dough films at most water contents tested, but the predicted values were significantly lower than the actual ones at low water contents. Therefore, the Vrentas & Duda was improved by adding a free volume term as a function of water content. As the water content increased, the water diffusion coefficient slightly decreased initially, then increased, and finally increased rapidly. Finally, the mechanism of water diffusion at low water contents was discussed from the perspectives of β-transition and free volume changes.

CLC number: TS201.7 Document code: A Article ID: 1002-6630(2023)16-0143-09

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Food Science
Pages 143-151

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Cite this article:
ZHAO X, YANG Y, FENG Z, et al. Analyzing Water Diffusion Properties in Dough Film Based on the Free Volume Theory. Food Science, 2023, 44(16): 143-151. https://doi.org/10.7506/spkx1002-6630-20220815-161

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Received: 15 August 2022
Published: 25 August 2023
© Beijing Academy of Food Sciences 2023.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).