LAPSE:2023.3206
Published Article
LAPSE:2023.3206
Reassessment of Thin-Layer Drying Models for Foods: A Critical Short Communication
February 22, 2023
Modeling the thin-layer drying of foods is based on describing the moisture ratio versus time data by using a suitable mathematical model or models. Several models were proposed for this purpose and almost all studies were related to the application of these models to the data, a comparison and selecting the best-fitted model. A careful inspection of the existing drying data in literature revealed that there are only a limited number of curves and, therefore, the use of some models, especially the complex ones and the ones that require a transformation of the data, should be avoided. These were listed based on evidence with the use of both synthetic and published drying data. Moreover, the use of some models were encouraged, again based on evidence. Eventually, some suggestions were given to the researchers who plan to use mathematical models for their drying studies. These will help to reduce the time of the analyses and will also avoid the arbitrary usage of the models.
Keywords
drying curves, Modelling, regression, uncertainty
Suggested Citation
Buzrul S. Reassessment of Thin-Layer Drying Models for Foods: A Critical Short Communication. (2023). LAPSE:2023.3206
Author Affiliations
Buzrul S: Department of Food Engineering, Konya Food and Agriculture University, Meram, Konya 42080, Turkey [ORCID]
Journal Name
Processes
Volume
10
Issue
1
First Page
118
Year
2022
Publication Date
2022-01-07
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr10010118, Publication Type: Review
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LAPSE:2023.3206
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doi:10.3390/pr10010118
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Feb 22, 2023
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CC BY 4.0
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Feb 22, 2023
 
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