Monte Carlo Simulation As Precision Predictive Tools to Find Isodose Curve of Gamma Irradiator: A Preliminary Study

Bimo Saputro, Adhi Harmoko Saputro, Nunung Nuraeni, Heru Prasetio, Okky Agassy Firmansyah, Fendi nugroho, Hasan Mayditia

Abstract

Dose distribution mapping is critical for guaranteeing correct sample irradiation, with both experimental and simulation methods playing important roles. Simulations are an effective way to forecast dose distribution patterns, lowering costs and increasing resource utilization. The geometry, source configuration, and measurement locations are fundamental to determine. The gamma irradiator has 48 source areas, each containing two cobalt-60 pencils measuring 8.15 cm, as well as a 4.7 cm stainless steel dummy. Alanine dosimeters were used for dose assessments, and stability varied by less than 1% over six months at 6°C and up to 5% at 50°C. The study's findings revealed a 2.25% disparity in relative dosage between experimental measurements and PHITS models. This result is a major improvement over prior research that found a 10% difference. Furthermore, dosage mapping along the XY and Z axes revealed the most uniform zone on the Z-axis, measuring 7.5 cm to 12.5 cm and with a radius of no more than 5 cm. These findings contribute to our understanding of dose distribution in gamma irradiation and highlight the utility of Monte Carlo simulations for optimizing irradiation operations. The study implies that this model can be used to improve the arrangement of cobalt-60 pencils in the irradiator, improving homogeneity and radiation outcomes.

Keywords

Dose distribution, experimental, gamma irradiator, simulation

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References

1 Rezaeian, P., Ataenia, V., & Shafiei, S. 2017. An analytical method based on multipole moment expansion to calculate the flux distribution in Gammacell-220. Radiation Physics and Chemistry, 141, 339–345.

2 “2020 Optimizing Gamma Irradiation Process”. 2020.

3 Aknouch, A., Elouardi, Y., Mouhib, M., Sebihi, R., Didi, A., & Choukri, A. 2021. A Monte Carlo study to investigate the feasibility to use the Moroccan panoramic irradiator in sterile insect technique programs. Radiation and Environmental Biophysics, 60(4), 673–679.

4 Hartmann, G. H., & Andreo, P. 2019. Fluence calculation methods in Monte Carlo dosimetry simulations. Zeitschrift für Medizinische Physik, 29(3), 239–248.

5 Hefue, J. 2000. The dose distribution inside the irradiation chamber of the gamma cell 220 at KACST using MCNP4B. Journal of Nuclear Science and Technology, 37, 402–405.

6 Gonçalves, J. A. C., Mangiarotti, A., & Bueno, C. C. 2022. Dose rate mapping of an industrial 60Co irradiator using an online photodiode-based dosimetry system. Radiation Physics and Chemistry, 200.

7 Sterilization of health care products—Radiation—Part 3: Guidance on dosimetric aspects of development, validation, and routine control. 2017. ISO. Online: www.iso.org

8 Eychenne, L., Abdelli-Messaci, S., Trompier, F., Brousse, N., & Achour, S. 2022. High energy X-ray fruit irradiation qualification with Monte Carlo code. Radiation Physics and Chemistry, 195.

9 Majer, M., Knežević, Ž., Pasariček, L., & Šarolić, A. 2019. Dose mapping of the panoramic 60Co gamma irradiation facility at the Ruđer Bošković Institute—Geant4 simulation and measurements. Applied Radiation and Isotopes, 154.

10 McEvoy, B., Morgan, A., Ferris, R., & Olabisi, O. 2023. Studies on the comparative effectiveness of X-rays, gamma rays, and electron beams to inactivate microorganisms at different dose rates in industrial sterilization of medical devices. Radiation Physics and Chemistry.

11 Salehi, Z., Balvasi, E., Zahri, M., & Aziz, A. 2018. A review of the recent Monte Carlo (MC) simulation for dosimetry in mammographic applications.

12 Majer, M., Pasariček, L., & Knežević, Ž. 2024. Dose mapping of the 60Co gamma irradiation facility and a real irradiated product—Measurements and Monte Carlo simulation. Radiation Physics and Chemistry, 214.

13 Saputro, B. 2021. Intercomparison of Gamma Cell 220 irradiator facilities and Dr. Mirzan T Razzak gamma irradiators using Harwell dosimeters. Jurnal Forum Nuklir, 15(1), 13.

14 Dridi, W., Daoudi, M., Farah, K., & Hosni, F. 2020. Monte Carlo validation of dose mapping for the Tunisian Gamma Irradiation Facility using the MCNP6 code. Radiation Physics and Chemistry, 173.

15 Aknouch, A., Elouardi, Y., Mouhib, M., Sebihi, R., Didi, A., & Choukri, A. 2020. New approach to make cylindrical packaging products rotate around their fixed axis during irradiation in the Monte Carlo simulation. Moscow University Physics Bulletin, 75(5), 447–450.

16 Peivaste, I., & Alahyarizadeh, G. 2019. Comparative study on absorbed dose distribution of potato and onion in X-ray and electron beam system by MCNPX2.6 code. MAPAN – Journal of Metrology Society of India, 34(1), 19–29.

17 Sihver, L., Niita, K., Iwase, H., & Sato, T. 2010. An update about recent developments of the PHITS code. Advances in Space Research, 45(7), 892–899.

18 Furuta, T., & Sato, T. 2021. Medical application of particle and heavy ion transport code system PHITS. In Advances in Radiation Physics (pp. 67–89). Springer.

19 Ladeira, L. C. D., Mesquita, A. Z., & Pereira, M. T. 2015. Calibrations of red Perspex PMMA dosimeter in terms of absorbed dose to water for routine dosimetry at CDTN gamma irradiation laboratory. International Journal of Nuclear Energy Science and Technology, 9(3), 238–248.

20 McEwen, M., Miller, A., Pazos, I., & Sharpe, P. 2020. Determination of a consensus scaling factor to convert a Co-60-based alanine dose reading to yield the dose delivered in a high energy electron beam. Radiation Physics and Chemistry, 171.

21 Hjørringgaard, J. G., Ankjærgaard, C., Bailey, M., & Miller, A. 2020. Alanine pellet dosimeter efficiency in a 40 kV X-ray beam relative to cobalt-60. Radiation Measurements, 136.

22 Nanez, S., & Uribe, R. M. 2023. Performance of the Harwell tape-tab alanine EPR dosimeter under typical production conditions: Effect of irradiation and storage temperature on stability. Radiation Physics and Chemistry, 206.

23 Sharpe, P., & Miller, A. 2009. Guidelines for the calibration of routine dosimetry systems for use in radiation processing.

24 Ranković, B. M., Nikolić, N. R., Mašić, S. B., & Vujčić, I. T. 2020. Dose mapping of products with different densities irradiated in 60Co irradiation facility of the Vinča Institute, Serbia. Nuclear Technology and Radiation Protection, 35(1), 56–63.

25 Mortuza, M. F., Lepore, L., Khedkar, K., Thangam, S., Nahar, A., Jamil, H. M., ... & Alam, M. K. 2018. Commissioning dosimetry and in situ dose mapping of a semi-industrial Cobalt-60 gamma-irradiation facility using Fricke and Ceric-cerous dosimetry system and comparison with Monte Carlo simulation data. Radiation Physics and Chemistry, 144, 256-264.

26 Jecong, J. F. M., Hila, F. C., Pares, F. A., Dingle, C. A. M., Guillermo, N. R. D., Baule, A. G., & Solomon, H. M. 2022. Ob-Servo Sanguis irradiator dose mapping at the Philippine Nuclear Research Institute using MCNP5 annular ring voxels. Radiation Physics and Chemistry, 191, 109835.

27 Gual, M. R., Pereira, C., & Mesquita, A. Z. 2019. Application of a new source model of a panoramic gamma irradiator on dose map formation in an irradiated product. Applied Radiation and Isotopes, 144, 87–92.

28 Moradi, F., et al. 2021. Feasibility study of a minibeam collimator design for a 60Co gamma irradiator. Radiation Physics and Chemistry, 178.

29 Oliveira, C., & Salgado, J. 2001. Isodose distributions and dose uniformity in the Portuguese gamma irradiation facility calculated using the MCNP code.

30 Mannai, K., Askri, B., Loussaief, A., & Trabelsi, A. 2007. Evaluation using Geant4 of the transit dose in the Tunisian gamma irradiator for insect sterilization. Applied radiation and isotopes, 65(6), 701-707.

31 George, J. R., & Pradhan, A. S. 2009. Estimation of DUR and source utilization efficiency for changing product dimensions and source activities in gamma irradiator. Radiation Physics and Chemistry, 78(11), 1011–1014.

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