RADIO FREQUENCY PROCESSING OF PEANUT BUTTER: COMPUTATIONAL MODEL DEVELOPMENT AND PROCESS DESIGN
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info:eu-repo/semantics/openAccessTarih
7 April 20Erişim
info:eu-repo/semantics/openAccessÜst veri
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Scopus EXPORT DATE: 12 September 2024 @CONFERENCE{Coskun2024125, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201321043&partnerID=40&md5=a655df604b4dfda45a07dbd4fe21c323}, affiliations = {Department of Food Engineering, Ankara University, Ankara, Turkey; Department of Food Engineering, Gumushane University, Gumushane, Turkey; Institute of Food Processing and Safety, College of Food Science, Sichuan Agricultural University, Ya'an, China; College of Mechanical and Electronic Engineering, Northwest University, Yangling, China; Department of Food Engineering, Middle East Technical University, Ankara, Turkey; Dipartimento di Ingegneria Industriale, Università degli studi di Salerno, SA, Fisciano, Italy}, correspondence_address = {S. Ozturk; Department of Food Engineering, Gumushane University, Gumushane, Turkey; email: sozturk@gumushane.edu.tr; F. Erdogdu; Department of Food Engineering, Ankara University, Ankara, Turkey; email: ferruherdogdu@yahoo.com}, editor = {Van Impe J.F.M. and Polańska M.E.}, publisher = {EUROSIS-ETI}, isbn = {978-949285929-7}, language = {English}, abbrev_source_title = {Int. Conf. Simul. Model. Food Bio-Ind.} }Özet
Within the last decade, Centers for Disease Control and Prevention (CDC) has reported outbreaks of Salmonella, particularly associated with low-moisture foods including peanut butter. In this study, radio frequency (RF) application was carried out for thermal processing of peanut butter samples. For this purpose, a computational model was developed to determine the temperature change of peanut samples using Comsol Multiphysics v6.0 (Comsol AB, Stockholm, Sweden), and experimental studies for model validation were completed in a 10 kW - 27.12 MHz RF system at 3300 and 4000 V electrode potentials. Following the model validation, industrial scale thermal processing studies were done with up to 30 samples located within the RF cavity. This study demonstrated the feasibility of the RF application for an efficient processing with rather uniform temperature distribution attained within the samples. © 2024, EUROSIS-ETI. All rights reserved.
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https://www.scopus.com/record/display.uri?eid=2-s2.0-85201321043&origin=SingleRecordEmailAlert&dgcid=raven_sc_affil_en_us_email&txGid=8d80e96d4ab36254e736c27b80d596c2https://www.scopus.com/citation/output.uri?origin=recordpage&view=&src=s&eid=2-s2.0-85201321043&outputType=exportPdf
https://hdl.handle.net/20.500.12440/6310
