Comparative evaluation of mathematical models for release of antioxidant from chitosan films prepared by different drying methods

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Publication Details

Author listThakhiew W., Waisayawan P., Devahastin S.

PublisherTaylor and Francis Group

Publication year2011

JournalDrying Technology (0737-3937)

Volume number29

Issue number12

Start page1396

End page1403

Number of pages8

ISSN0737-3937

eISSN1532-2300

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79960760456&doi=10.1080%2f07373937.2011.588816&partnerID=40&md5=9a1a9a122897c134d8bcb9f47c2ec375

LanguagesEnglish-Great Britain (EN-GB)


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Abstract

Antioxidants are often added to many types of food packagings, especially packaging films, to enhance their effectiveness in protecting food from the environment. This positive action is possible due to release of the agents from the film matrix into food to reduce oxidation, thus extending the product's shelf life. For effective design of antioxidant-added films, the release characteristics of antioxidant from the films under various conditions need to be known and predicted. The aim of this study was to compare various simple mathematical models for prediction of the release of antioxidant from edible chitosan films into distilled water at room temperature. Chitosan films were prepared via hot air drying, vacuum drying, and low-pressure superheated steam drying. Models with different expressions for the effective diffusion coefficient were tested. The model equations were solved numerically using COMSOL Multiphysics software (Comsol AB, Stockholm, Sweden). The prediction efficiency of the models was verified by comparing the predicted release kinetics of the antioxidant, in terms of the total phenolics content (TPC), with the experimental data available in the literature. It was found that the model assuming the effective diffusion coefficient as a function of the phenolics concentration gave the best agreement with the experimental results. ฉ 2011 Taylor & Francis Group, LLC.


Keywords

Effective diffusion coefficientSwelling


Last updated on 2023-17-10 at 07:35