Radiation Sterilization: Part 4

Tuesday November 05, 2024 from 15:45 to 17:00

Room: Guanacaste 1-2

Radster4.3 The application of Monte Carlo simulations to electron beam sterilization processes: a case of study on industrial dosimetry

Eric D Crawley, United States

Senior Sterilization Engineer
Abbott Assurance of Sterility Task Force
Abbott

Abstract

The application of Monte Carlo simulations to electron beam sterilization processes: a case of study on industrial dosimetry

Adrian A Blanco1,2,3, Eric Crawley3, Vu Lekate3, Byron Lambert3, Robert Edgecock2.

1University Carlos III de Madrid, Madrid, Spain; 2International Irradiation Association, Shropshire, United Kingdom; 3Assurance of Sterility Task Force, Abbott, Temecula, CA, United States

Introduction and objectives: Dosimetry is a requirement as a part of the development and validation of sterilization radiation process. The quality of results is limited mainly by the dosimeters. This is specially concerning in industrial applications where measurement must be carried out in products with non-homogenous geometrical. Monte Carlo simulations present a good complementary tool to dosimetry measurements as it can provide additional information. There are few studies in which Monte Carlo methods are applied to dosimetry industrial electron beam applications.  This study aims to overcome the lack of available data using Monte Carlo methods in industrial dosimetry applications.

Materials and methods: Two different software based on different source codes have been used for this study. One based on PENELOPE and the other based on GEANT4. The evaluation of these software has consisted in two parts. The first part is an error analysis, where several input parameters for the modelling of an electron beam process have been evaluated, discerning into the most critical ones. In the second part, considering the conclusions from the first part, Monte Carlo modeling has been applied to an industrial case of study. A commercial product in two different configurations has been simulated in a Monte Carlo, comparing the differences between numerical and experimental results.

Conclusions: Good agreement between experimental and numerical results has been obtained with simple geometries during the error analysis, nevertheless, in the second part of study there has been an increase in the error applying the same considerations/simplifications as in the first part.

 


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