Dóka Tamás, Horák Péter
Department of Machine and Product Design, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest 1111, Hungary.
ACS Omega. 2025 Jan 30;10(5):4291-4302. doi: 10.1021/acsomega.4c05715. eCollection 2025 Feb 11.
This study addresses the need to utilize bench-scale experimental results for ultraviolet (UV) light disinfection on solid food surfaces by proposing a novel framework to evaluate the fluence rate field of arbitrarily placed UV sources to ensure proper disinfection in industrial-scale food processing. Despite extensive research establishing UV fluence values for disinfection of various food types, industrial applications often face challenges due to nonhomogeneous UV distribution. This study introduces a method capable of determining the fluence distribution on solid food and food contact surfaces in both static and moving environments. Additionally, it aids in selecting the appropriate light sources and irradiation times. Our model leverages UV radiation models from different engineering disciplines to determine the UV fluence and dose distribution on the surface of convex objects. This helps to understand and optimize processes for proper decontamination, improved food quality, and a longer shelf life for processed products.
本研究提出了一个新颖的框架，用于评估任意放置的紫外线（UV）光源的通量率场，以满足利用实验室规模实验结果对固体食品表面进行紫外线消毒的需求，从而确保工业规模食品加工中的适当消毒。尽管已有大量研究确定了各种食品类型消毒所需的紫外线通量值，但由于紫外线分布不均匀，工业应用中常常面临挑战。本研究介绍了一种能够确定静态和动态环境下固体食品及食品接触表面通量分布的方法。此外，它有助于选择合适的光源和照射时间。我们的模型利用不同工程学科的紫外线辐射模型，来确定凸形物体表面的紫外线通量和剂量分布。这有助于理解和优化适当去污、提高食品质量以及延长加工产品保质期的过程。
