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Honey De-crystallization by radio frequency heating for process efficiency: Computational monitoring combined with time domain nuclear magnetic resonance
Date
2023-05-01
Author
Karatas, Ozan
Uyar, Rahmi
Berk, Berkay
Öztop, Halil Mecit
Marra, Francesco
ERDOĞDU, FERRUH
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Industrial de-crystallization of honey is carried out by using hot water or air at 60 °C or higher temperatures with the cost of energy and longer process times. The objectives of this study were to apply RF processing for de-crystallization and monitor this process with time-domain nuclear magnetic resonance (TD-NMR) data and a computational model. For this purpose, crystallized honey samples were processed in a 10 kW - 27.12 MHz free-running oscillator RF system, and experimental temperature data were used to validate the developed computational model. TD-NMR experiments were performed to monitor the de-crystallization, and the obtained kinetics data were coupled with temperature increase to compute the crystal content changes through the process. The RF de-crystallization led to a significant decrease (>70% compared to the conventional processes) in process time for industrial scale processing demonstrating its sustainability.
Subject Keywords
Computational modelling
,
de-crystallization
,
Honey
,
Radio frequency
,
TD-NMR
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85151291386&origin=inward
https://hdl.handle.net/11511/102918
Journal
Innovative Food Science and Emerging Technologies
DOI
https://doi.org/10.1016/j.ifset.2023.103345
Collections
Department of Food Engineering, Article
Citation Formats
IEEE
ACM
APA
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BibTeX
O. Karatas, R. Uyar, B. Berk, H. M. Öztop, F. Marra, and F. ERDOĞDU, “Honey De-crystallization by radio frequency heating for process efficiency: Computational monitoring combined with time domain nuclear magnetic resonance,”
Innovative Food Science and Emerging Technologies
, vol. 85, pp. 0–0, 2023, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85151291386&origin=inward.