Issue |
BIO Web Conf.
Volume 45, 2022
68th Scientific Conference with International Participation “FOOD SCIENCE, ENGINEERING AND TECHNOLOGY – 2021”
|
|
---|---|---|
Article Number | 03001 | |
Number of page(s) | 4 | |
Section | Food Process Engineering | |
DOI | https://doi.org/10.1051/bioconf/20224503001 | |
Published online | 04 February 2022 |
Adsorption characteristics of a ready-made mixture of linseed and dried fruit
1 Department of Process Engineering, Technical Faculty, University of Food Technologies, Plovdiv, Bulgaria
2 Department of Mechanical and Instrument Engineering, Faculty of Mechanical Engineering, Branch Plovdiv of Technical University, Sofia, Bulgaria
3 Language Training Center, University of Food Technologies, Plovdiv, Bulgaria
* Corresponding author: aldurakova@abv.bg
Sorption characteristics are an integral part of scientific research on new products since they provide data on the means of processing, transportation, and storage of food products. The present study focuses on the adsorption characteristics of a ready-made mixture of golden linseed – 46%; brown linseed – 25%; granulated plums – 9% and granulated dates – 8% which are organic farming ingredients. The experiment was conducted at temperatures of 10°C, 25°C and 40°C and water activities in the 11.2% -86.8% range. The results demonstrate that at constant water activities the increase in temperature is coupled by a decrease in equilibrium moisture content. The sorption isotherms obtained belong to Type III, typical of food products, according to the classification of Brunauer et al. For the description of adsorption isotherms, we recommend Oswin’s modified three-parameter model. Via the linearization of Brunauer-Emmett-Teller’s model, we calculated the values of the monolayer moisture content (MMC) of the mixture for the three temperatures: 10ºС – 4.85% d.m.; 25ºС – 3.92% d.m. and 40ºС – 3.34% d.m. with control points for water activity of aw < 0.5.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.