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- MakaleAçık Erişim2026Scopus SJRQ1Designing an industrial-scale radio frequency decontamination process for peanut butter
Coskun, Eda; Ozturk, Samet; Tasci, Caner; Kahraman, Kubra; Liu, Shuxiang; Li, Rui; Wang, Shaojin; Mert, Behic; Marra, Francesco; Erdogdu, Ferruh
Centers for Disease Control and Prevention (CDC) has reported outbreaks of Salmonella, particularly associated with low-moisture foods including peanut butter. Even though roasting is included along the processing line, the presence of these safety issues indicates the requirement of process following the packaging of the samples. Because of the lower thermal diffusivity of the peanut butter, a conventional thermal process is expected to be challenging with expected temperature non-uniformities. Therefore, radio frequency (RF) heating was considered in this study for thermal processing of peanut butter samples. For this purpose, a computational model was developed to determine the temperature change of peanut butter samples. 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, a comparison to the conventional thermal processing was presented, and industrial scale thermal processing studies were applied where up to 30 packaged samples were placed within the RF cavity. Process efficiency was determined with the process time decrease, temperature uniformity and decontamination effects. Science4Impact: This study demonstrated RF processing for an efficient thermal decontamination with uniform temperature distribution attained within the samples in an industrial scale process.
- BildiriYalnız künye2024RADIO FREQUENCY PROCESSING OF PEANUT BUTTER: COMPUTATIONAL MODEL DEVELOPMENT AND PROCESS DESIGN
Coskun, Eda; Ozturk, Samet; Tasci, Caner; Polat, Kubra; Liu, Shuxiang; Li, Rui; Wang, Shaojin; Mert, Behic; Marra, Francesco; Erdogdu, Ferruh
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.
AtıfScopus1İncele - MakaleAçık Erişim2022Scopus SJRQ1Continuous flow microwave processing of peanut butter: A (hypothetical) computational process design study with experimental validation
Coskun, Eda; Ozturk, Samet; Topcam, Huseyin; Karatas, Ozan; Li, Rui; Wang, Shaojin; Mert, Behic; Erdogdu, Ferruh
The increase in foodborne pathogen cases in low moisture foods has raised a significant food safety concern for food industry. One of the most significant outbreaks related with these food products was observed in 2008–2009 due to Salmonella problem in peanut butter. This issue was recently observed again for a multinational case. Challenges of conventional thermal processing due to the lower thermal conductivity – diffusivity value and higher viscosity, microwave (MW) heating might be an efficient processing while the non-uniform heating is a challenging drawback. Therefore, the objective of this study was to develop a mathematical model for MW processing of peanut butter and present industrial scale designs for continuous flow processing. For this purpose, the mathematical model was first experimentally validated using a lab-scale system and validated with experimental data. Following this, continuous flow MW process design studies were carried out with different holding tube configurations to obtain a temperature increase to enable decontamination and improve the temperature uniformity. These design simulations provided a better understanding to enhance the process efficiency of high viscosity low moisture peanut butter samples and for design and optimization of continuous flow MW processing.
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