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A review of emerging trends in experimental, simulation, and theoretical methods for dose calculation in radiation processing Cover

A review of emerging trends in experimental, simulation, and theoretical methods for dose calculation in radiation processing

Nukleonika
Volume 70 (2025): Issue 3 (September 2025)
By: Okky A. Firmansyah,  Budhy Kurniawan,  Bimo Saputro,  Marta Walo,  Urszula Gryczka and  Nunung Nuraeni  
Open Access
|Aug 2025

References

  1. Colletti, A. C., Denoya, G. I., Vaudagna, S. R., & Polenta, G. A. (2024). Novel applications of gamma irradiation on fruit processing. Curr. Food Sci. Technol. Rep., 2(1), 55–64. https://doi.org/10.1007/s43555-024-00016-w.
    Search in Google ScholarBack to article
  2. Bisht, B., Bhatnagar, P., Gururani, P., Kumar, V., Tomar, M. S., Sinhmar, R., Rathi, N., & Kumar, S. (2021). Food irradiation: Effect of ionizing and non-ionizing radiations on preservation of fruits and vegetables–a review. Trends Food Sci. Technol., 114, 372–385. https://doi.org/10.1016/j.tifs.2021.06.002.
    Search in Google ScholarBack to article
  3. Chaudhary, S., Kumar, S., Kumar, V., Singh, B., & Dhiman, A. (2024). Irradiation: A tool for the sustainability of fruit and vegetable supply chain–advancements and future trends. Radiat. Phys. Chem., 217, 111511. https://doi.org/10.1016/j.radphyschem.2024.111511.
    Search in Google ScholarBack to article
  4. Li, D., Bisel, T. T., Cooley, S. K., Ni, Y., Murphy, M. K., Spencer, M. P., Hasan, Md K., Fifield, L. S., Pharr, M., Staack, D., Huang, M., Pillai, S. D., Nichols, L., Parker, R., & Gustin, E. (2025). Gamma, electron beam and X-ray irradiation effects on polymers in an advanced bone cement mixer device. Radiat. Phys. Chem., 226, 112188. https://doi.org/10.1016/j.radphyschem.2024.112188.
    Search in Google ScholarBack to article
  5. Akter, H., Cunningham, N., Rempoulakis, P., & Bluml, M. (2023). An overview of phytosanitary irradiation requirements for Australian pests of quarantine concern. Agriculture, 13(4), 1–15. https://doi.org/10.3390/agriculture13040771.
    Search in Google ScholarBack to article
  6. Ihsanullah, I., & Rashid, A. (2017). Current activities in food irradiation as a sanitary and phytosanitary treatment in the Asia and the Pacific Region and a comparison with advanced countries. Food Control, 72, 345–359. https://doi.org/10.1016/j.foodcont.2016.03.011.
    Search in Google ScholarBack to article
  7. Kuntz, F., & Strasser, A. (2016). The specifics of dosimetry for food irradiation applications. Radiat. Phys. Chem., 129, 46–49.
    Search in Google ScholarBack to article
  8. 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. Radiat. Phys. Chem., 214, 111280.
    Search in Google ScholarBack to article
  9. Saputro, B., Saputro, A. H., & Nuraeni, N. (2024). A Monte Carlo approach for predictive tools in gamma irradiator: a review. J. Radioanal. Nucl. Chem., 0123456789. https://doi.org/10.1007/s10967-024-09871-2.
    Search in Google ScholarBack to article
  10. Singh, M., Datta, D., & Gupta, A. (2023). Modelling and optimization of dosimeters in the product box for commissioning dosimetry at gamma irradiator using Voronoi Diagram algorithm. Radiat. Phys. Chem., 210, 111011. https://doi.org/10.1016/j.radphyschem.2023.111011.
    Search in Google ScholarBack to article
  11. Rivadeneira, R., Kim, J., Huang, Y., Castell-Perez, M. E., & Moreira, R. (2007). A 3-D dosimeter for complex-shaped foods using electron-beam irradiation. Am. Soc. Agric. Biol. Eng., 50(5), 1751–1758.
    Search in Google ScholarBack to article
  12. Andreo, P. (1991). Monte Carlo techniques in medical radiation physics. Phys. Med. Biol., 36(7), 861–920.
    Search in Google ScholarBack to article
  13. Andreo, P. (2018). Monte Carlo simulations in radiotherapy dosimetry. Radiat. Oncol., 13(1), 1–15. https://doi.org/10.1186/s13014-018-1065-3.
    Search in Google ScholarBack to article
  14. Moradi, F., Khandaker, M. U., Mahdiraji, G. A., Ung, N. M., & Bradley, D. A. (2017). Dose mapping inside a gamma irradiator measured with doped silica fibre dosimetry and Monte Carlo simulation. Radiat. Phys. Chem., 140, 107–111. https://doi.org/10.1016/j.radphyschem.2017.01.032.
    Search in Google ScholarBack to article
  15. Belkadhi, K., Elhamdi, K., Bhar, M., & Manai, K. (2017). Dose calculation using Haar wavelets with buildup correction. Appl. Radiat. Isot., 127, 186–194. https://doi.org/10.1016/j.apradiso.2017.06.011.
    Search in Google ScholarBack to article
  16. Zolotov, S. A., Bliznyuk, U. A., Studenikin, F. R., Borshchegovskaya, P. Y., & Krusanov, G. A. (2023). Combination of aluminum plates of different thicknesses to increase the homogeneity of radiation treatment by accelerated electrons. Phys. Part. Nucl. Lett., 20(4), 954–958.
    Search in Google ScholarBack to article
  17. Knoll, G. F. (2010). Radiation detection and measurement (4th ed.). John Wiley & Sons.
    Search in Google ScholarBack to article
  18. Renaud, J., Palmans, H., Sarfehnia, A., & Seuntjens, J. (2020). Absorbed dose calorimetry. Phys. Med. Biol., 65(5), 05TR02. DOI: 10.1088/1361-6560/ab4f29.
    Open DOISearch in Google ScholarBack to article
  19. McEwen, M. R., Sharpe, P. H. G., Pazos, I. M., Miller, A., Pawlak, E., Ninlaphruk, S., Zhang, Y., & Kessler, C. (2022). Supplementary comparison CCRI(I)-S3 of standards for absorbed dose to water in 60Co gamma radiation at radiation processing dose levels. Metrologia, 59(1A), 1–18. DOI: 10.1088/0026-1394/59/1A/06012.
    Open DOISearch in Google ScholarBack to article
  20. Muir, B. R., Cojocaru, C. D., McEwen, M. R., & Ross, C. K. (2017). Electron beam water calorimetry measurements to obtain beam quality conversion factors. Med. Phys., 44(10), 5433–5444.
    Search in Google ScholarBack to article
  21. Miller, A. (1995). Polystyrene calorimeter for electron beam dose measurements. Radiat. Phys. Chem., 46(4/6), 1243–1246.
    Search in Google ScholarBack to article
  22. Miller, A., & Kovacs, A. (1990). Application of calorimeters for routine and reference dosimetry at 4–10 MeV industrial electron accelerators. Radiat. Phys. Chem., 35, 774–778.
    Search in Google ScholarBack to article
  23. Miller, A., Kovacs, A., & Kuntz, F. (2002). Development of polystyrene calorimeter for application at electron energies down to 1.5 MeV. Radiat. Phys. Chem., 63, 739–744.
    Search in Google ScholarBack to article
  24. ISO/ASTM International. (2013). ISO/ASTM 51631: Practice for use of calorimetric dosimetry systems for electron beam dose measurements and routine dosimetry system calibration.
    Search in Google ScholarBack to article
  25. International Atomic Energy Agency. (2002). Dosimetry for food irradiation. Vienna: IAEA. (TRS no. 409).
    Search in Google ScholarBack to article
  26. Secerov, B., Radenkovic, M., & Dramicanin, M. (2016). Uncertainty and routine use of aerial L-alanine – electron spin resonance dosimetry system. Radiat. Meas., 89, 63–67. https://doi.org/10.1016/j.radmeas.2016.03.003.
    Search in Google ScholarBack to article
  27. Yang, Z., Vrielinck, H., Jacobsohn, L. G., Smet, P. F., & Poelman, D. (2024). Passive dosimeters for radiation dosimetry: Materials, mechanisms, and applications. Adv. Funct. Mater., 34(41), 2406186. https://doi.org/10.1002/adfm.202406186.
    Search in Google ScholarBack to article
  28. Mahdiraji, G. A., Ghomeishi, M., Dermosesian, E., Hashim, S., Ung, N. M., Adikan, F. R. M., & Bradley, D. A. (2015). Optical fiber based dosimeter sensor: Beyond TLD-100 limits. Sens. Actuators A-Phys., 222, 48–57. https://doi.org/10.1016/j.sna.2014.11.017.
    Search in Google ScholarBack to article
  29. Oresegun, A., Basaif, A., Tarif, Z. H., Abdul-Rashid, H. A., Hashim, S. A., & Bradley, D. A. (2021). Radioluminescence of silica optical fibre scintillators for real-time industrial radiation dosimetry. Radiat. Phys. Chem., 188, 109684. https://doi.org/10.1016/j.radphyschem.2021.109684.
    Search in Google ScholarBack to article
  30. Schuster, C., Kuntz, F., Strasser, A., Härtling, T., Dornich, K., & Richter, D. (2021). 3D relative dose measurement with a μm thin dosimetric layer. Radiat. Phys. Chem., 180, 109238.
    Search in Google ScholarBack to article
  31. Schuster, C., Kuntz, F., Cloetta, D., Zeller, M., Katzmann, J., Strasser, A., Härtling, T., & Lavalle, M. (2022). Depth dose curve and surface dose measurement with a μm thin dosimetric layer. Radiat. Phys. Chem., 193, 109881. https://doi.org/10.1016/j.radphyschem.2021.109881.
    Search in Google ScholarBack to article
  32. Rabaeh, K. A., Aljammal, S. A., Eyadeh, M. M., & Abumurad, K. M. (2021). Methyl thymol blue solution and film dosimeter for high dose measurements. Results Phys., 23, 103980. https://doi.org/10.1016/j.rinp.2021.103980.
    Search in Google ScholarBack to article
  33. Soliman, Y. S., Abdel-Fattah, A. A., & Alkhuraiji, T. S. (2018). Radiochromic film containing poly(hexa-2,4-diynylene adipate) as a radiation dosimeter. Appl. Radiat. Isot., 141, 80–87. https://doi.org/10.1016/j.apradiso.2018.08.016.
    Search in Google ScholarBack to article
  34. Rachmanto, A., Putri, M. A. E., Yunus, M. Y., Yunus, L., Fitriana, R., & Rahmawati, R. (2024). ESR spectroscopic analysis of fructose as a dosimeter for gamma radiation. Nucl. Instrum. Methods Phys. Res. Sect. B-Beam Interact. Mater. Atoms, 557, 165551. https://doi.org/10.1016/j.nimb.2024.165551.
    Search in Google ScholarBack to article
  35. Al-Ghamdi, H., Farah, K., Almuqrin, A., & Hosni, F. (2022). FTIR study of gamma and electron irradiated high-density polyethylene for high dose measurements. Nucl. Eng. Technol., 54(1), 255–261. https://doi.org/10.1016/j.net.2021.07.023.
    Search in Google ScholarBack to article
  36. Khouqeer, G. A., Farah, K., Toumi, S., & Hosni, F. (2025). Electron paramagnetic resonance characterization of gamma and electron irradiated high-density polyethylene: Possible use as a high-dose dosimeter. Nucl. Eng. Technol., 103419. https://doi.org/10.1016/j.net.2024.103419.
    Search in Google ScholarBack to article
  37. Vaiano, P., Consales, M., Casolaro, P., Campajola, L., Fienga, F., Di Capua, F., Breglio, G., Buontempo, S., Cutolo, A., & Cusano, A. (2019). A novel method for EBT3 Gafchromic films read-out at high dose levels. Phys. Med., 61, 77–84. https://doi.org/10.1016/j.ejmp.2019.04.013.
    Search in Google ScholarBack to article
  38. Nasreddine, A., Kuntz, F., & El Bitar, Z. (2021). Absorbed dose to water determination for kilo-voltage X-rays using alanine/EPR dosimetry systems. Radiat. Phys. Chem., 180, 108938. https://doi.org/10.1016/j.radphyschem.2020.108938.
    Search in Google ScholarBack to article
  39. Hjørringgaard, J. G., Ankjærgaard, C., Miller, A., & Andersen, C. E. (2023). Kilovoltage X-ray beam quality effect on the relative response of alanine pellet dosemeters. Radiat. Prot. Dosim., 199(14), 1605–1610. https://doi.org/10.1093/rpd/ncad008.
    Search in Google ScholarBack to article
  40. Beigzadeh, A. M., & Vaziri, M. R. R. (2021). Z-scan dosimetry of gamma-irradiated PMMA. Nucl. Instrum. Methods Phys. Res. Sect. A-Accel. Spectrom. Dect. Assoc. Equ., 991, 165022. https://doi.org/10.1016/j.nima.2021.165022.
    Search in Google ScholarBack to article
  41. 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. Radiat. Phys. Chem., 171, 108673. https://doi.org/10.1016/j.radphyschem.2019.108673.
    Search in Google ScholarBack to article
  42. Skowyra, M. M., Ankjærgaard, C., Yu, L., Lindvold, L. R., Skov, A. L., & Miller, A. (2022). Glass transition temperature of Risø B3 radiochromic film dosimeter and its importance on the post-irradiation heating procedure. Radiat. Phys. Chem., 194, 109982. https://doi.org/10.1016/j.radphyschem.2022.109982.
    Search in Google ScholarBack to article
  43. Yamada, H., & Parker, A. (2022). Gafchromic TM MD-V3 and HD-V2 film response depends little on temperature at time of exposure. Radiat. Phys. Chem., 196, 1–7.
    Search in Google ScholarBack to article
  44. 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. Radiat. Meas., 136, 106374. https://doi.org/10.1016/j.radmeas.2020.106374.
    Search in Google ScholarBack to article
  45. Hjørringgaard, J. G., Ankjærgaard, C., & Andersen, C. E. (2022). The microdosimetric one-hit detector model for calculating the relative efficiency of the alanine pellet dosimeter in low energy X-ray beams. Radiat. Meas., 150, 106659. https://doi.org/10.1016/j.radmeas.2021.106659.
    Search in Google ScholarBack to article
  46. Eychenne, L., Vander Stappen, F., Kuntz, F., Stichelbaut, F., Dossat, C., Robin-Chabanne, S., & Chatry, N. (2022). High energy X-ray fruit irradiation qualification with Monte Carlo code. Radiat. Phys. Chem., 195, 110075. https://doi.org/10.1016/j.radphyschem.2022.110075.
    Search in Google ScholarBack to article
  47. Andreo, P., Burns, D. T., Kapsch, R. P., McEwen, M., Vatnitsky, S., Andersen, C. E., Ballester, F., Borbinha, J., Delaunay, F., Francescon, P., Hanlon, M. D., Mirzakhanian, L., Muir, B., Ojala, J., Oliver, C. P., Pimpinella, M., Pinto, M., de Prez, L. A., Seuntjens, J., Sommier, J., Teles, P., Tikkanen, J., Vijande, J., & Zink, K. (2020). Determination of consensus kQ values for megavoltage photon beams for the update of IAEA TRS-398. Phys. Med. Biol., 65(9), 095011. https://doi.org/10.1088/1361-6560/ab807b.
    Search in Google ScholarBack to article
  48. Bourgouin, A., Schüller, A., Hackel, T., & Kranzer, R. (2020). Calorimeter for real-time dosimetry of pulsed ultra-high dose rate electron beams. Front. Phys., 8, 567340. https://doi.org/10.3389/fphy.2020.567340.
    Search in Google ScholarBack to article
  49. Subiel, A., & Romano, F. (2023). Recent developments in absolute dosimetry for FLASH radiotherapy. Br. J. Radiol., 96(1148), 20220560. https://doi.org/10.1259/bjr.20220560.
    Search in Google ScholarBack to article
  50. Van Hung, T., & Khac An, T. (2010). Dose mapping using MCNP code and experiment for SVST-Co-60/B irradiator in Vietnam. Appl. Radiat. Isot., 68(6), 1104–1107. https://doi.org/10.1016/j.apradiso.2010.01.023.
    Search in Google ScholarBack to article
  51. Graves, S. A., Flynn, R. T., & Hyer, D. E. (2019). Dose point kernels for 2,174 radionuclides. Med. Phys., 46(11), 5284–5293. https://doi.org/10.1002/mp.13789.
    Search in Google ScholarBack to article
  52. Papadimitroulas, P., Loudos, G., Nikiforidis, G. C., & Kagadis, G. C. (2012). A dose point kernel database using GATE Monte Carlo simulation toolkit for nuclear medicine applications: Comparison with other Monte Carlo codes. Med. Phys., 39(8), 5238–5247. https://doi.org/10.1118/1.4737096.
    Search in Google ScholarBack to article
  53. Belchior, A., Botelho, M. L., Peralta, L., & Vaz, P. (2008). Dose mapping of a 60Co irradiation facility using PENELOPE and MCNPX and its validation by chemical dosimetry. Appl. Radiat. Isot., 66(4), 435–440. https://doi.org/10.1016/j.apradiso.2007.11.017.
    Search in Google ScholarBack to article
  54. El-Ouardi, Y., Aknouch, A., Dadouch, A., Mouhib, M., & Benmessaoud, M. (2021). Monte Carlo simulation as a predictive tool to program a reloading operation of a gamma irradiator. Mosc. Univ. Phys. Bull., 76(6), 482–487. https://doi.org/10.3103/S0027134921060047.
    Search in Google ScholarBack to article
  55. Bailey, M., Sephton, J. P., & Sharpe, P. H. G. (2009). Monte Carlo modelling and real-time dosemeter measurements of dose rate distribution at a 60Co industrial irradiation plant. Radiat. Phys. Chem., 78(7/8), 453–456. https://doi.org/10.1016/j.radphyschem.2009.03.024.
    Search in Google ScholarBack to article
  56. Lazurik, V. T., Lazurik, V. M., Popov, G., Rogov, Y., & Zimek, Z. (2011). Information system and software for quality control of radiation processing. Warsaw: International Atomic Energy Agency; Institute of Nuclear Chemistry and Technology.
    Search in Google ScholarBack to article
  57. Schwarz, R., Salvat, F., Sunderland, D., Azuma, M., Boutros, C., Pillai, S., Kuntz, F., Nasreddine, A., Pagh, J., Wootan, D., & Murphy, M. K. (2024). PUFFIn – A user friendly fast interface for calculating and visualizing the dose distribution in materials. Radiat. Phys. Chem., 222, 111774. https://doi.org/10.1016/j.radphyschem.2024.111774.
    Search in Google ScholarBack to article
  58. Rafiepour, P., Sina, S., & Javad Mortazavi, S. M. (2023). A multiscale Monte Carlo simulation of irradiating a typical-size apple by low-energy X-rays and electron beams. Radiat. Phys. Chem., 212, 111016. https://doi.org/10.1016/j.radphyschem.2023.111016.
    Search in Google ScholarBack to article
  59. Iwamoto, Y., Sato, T., Hashimoto, S., Ogawa, T., Furuta, T., Abe, S. I., Kai, T., Matsuda, N., Hosoyamada, R., & Niita, K. (2017). Benchmark study of the recent version of the PHITS code. J. Nucl. Sci. Technol., 54(5), 617–635. https://doi.org/10.1080/00223131.2017.1297742.
    Search in Google ScholarBack to article
  60. El-Ouardi, Y., Dadouch, A., Aknouch, A., Mouhib, M., Maghnouj, A., & Didi, A. (2020). Comparative study between Geant4, MCNP6 and experimental results against gamma radiation comes from a cobalt-60 source. Mosc. Univ. Phys. Bull., 75(5), 507–511. https://doi.org/10.3103/S0027134920050033.
    Search in Google ScholarBack to article
  61. Moradi, F., Khandaker, M. U., Abdul Sani, S. F., Uguru, E. H., Sulieman, A., & Bradley, D. A. (2021). Feasibility study of a minibeam collimator design for a 60Co gamma irradiator. Radiat. Phys. Chem., 178, 109026. https://doi.org/10.1016/j.radphyschem.2020.109026.
    Search in Google ScholarBack to article
  62. Aknouch, A., El-Ouardi, Y., Hamroud, L., Sebihi, R., Mouhib, M., Yjjou, M., Didi, A., & Choukri, A. (2021). A Monte Carlo study to investigate the feasibility to use the Moroccan panoramic irradiator in sterile insect technique programs. Radiat. Environ. Biophys., 60(4), 673–679. https://doi.org/10.1007/s00411-021-00934-6.
    Search in Google ScholarBack to article
  63. Saputro, B., Saputro, A. H., Nuraeni, N., Prasetio, H., Firmansyah, O. A., Fendinugroho, & Mayditia, H. (2024). Monte Carlo simulation as precision predictive tools to find isodose curve of gamma irradiator: A preliminary study. Indones. J. Appl. Phys., 14(2), 386. https://doi.org/10.13057/ijap.v14i2.93092.
    Search in Google ScholarBack to article
  64. Cao, V. C., Vo, A. T., Le, Q. T., Le, N. T., Duong, T. H., & Tran, H. N. (2021). Depth-dose profiles in continuous and discontinuous materials of food products and medical devices irradiated by 10 MeV electron beam. J. Radioanal. Nucl. Chem., 330(3), 609–617. https://doi.org/10.1007/s10967-021-07985-5.
    Search in Google ScholarBack to article
  65. Kroc, T. K. (2023). Monte Carlo simulations demonstrating physics of equivalency of gamma, electronbeam, and X-ray for radiation sterilization. Radiat. Phys. Chem., 204, 110702. https://doi.org/10.1016/j.radphyschem.2022.110702.
    Search in Google ScholarBack to article
  66. Jung, S. T., Pyo, S. H., Kang, W. G., Kim, Y. R., Kim, J. K., Kang, C. M., Nho, Y. C., & Park, J. S. (2021). Energy deposition calculation by Monte Carlo simulation in irradiation of electric cables by electron beam. Radiat. Phys. Chem., 186, 109506. https://doi.org/10.1016/j.radphyschem.2021.109506.
    Search in Google ScholarBack to article
  67. Kim, J., Moreira, R. G., & Castell-Perez, M. E. (2010). Simulation of pathogen inactivation in whole and fresh-cut cantaloupe (Cucumis melo) using electron beam treatment. J. Food Eng., 97(3), 425–433. https://doi.org/10.1016/j.jfoodeng.2009.10.038.
    Search in Google ScholarBack to article
  68. Kim, J., Rivadeneira, R. G., Castell-Perez, M. E., & Moreira, R. G. (2006). Development and validation of a methodology for dose calculation in electron beam irradiation of complex-shaped foods. J. Food Eng., 74(3), 359–369.
    Search in Google ScholarBack to article
  69. Hallman, G. J., & Loaharanu, P. (2016). Phytosanitary irradiation – Development and application. Radiat. Phys. Chem., 129, 39–45. https://doi.org/10.1016/j.radphyschem.2016.08.003.
    Search in Google ScholarBack to article
  70. Majer, M., Roguljić, M., Knežević, Ž., Starodumov, A., Ferenček, D., Brigljević, V., & Mihaljević, B. (2019). Dose mapping of the panoramic 60Co gamma irradiation facility at the Ruđer Bošković Institute – Geant4 simulation and measurements. Appl. Radiat. Isot., 154, 108824. https://doi.org/10.1016/j.apradiso.2019.108824.
    Search in Google ScholarBack to article
  71. Kim, J., Moreira, R. G., & Castell-Perez, E. (2011). Optimizing irradiation treatment of shell eggs using simulation. J. Food Sci., 76(1), 173–177.
    Search in Google ScholarBack to article
  72. Kim, J., Kwon, S. -H., Chung, S. -W., Kwon, S. -G., Park, J. -M., & Choi, W. -S. (2013). Understanding phytosanitary irradiation treatment of pineapple using Monte Carlo simulation. J. Biosyst. Eng., 38(2), 87–94.
    Search in Google ScholarBack to article
  73. Kim, J., Moreira, R. G., & Castell-Perez, M. E. (2015). Improving phytosanitary irradiation treatment of mangoes using Monte Carlo simulation. J. Food Eng., 149, 137–143. https://doi.org/10.1016/jjfoodeng.2014.10.005.
    Search in Google ScholarBack to article
  74. Kim, J., Moreira, R. G., & Castell-Perez, M. E. (2019). Determination of best pine wilt disease treatment using irradiation. J. Radiat. Res. Appl. Sci., 12(1), 269–280. https://doi.org/10.1080/16878507.2019.1650994.
    Search in Google ScholarBack to article
  75. Kim, J., Moreira, R. G., Rivadeneira, R., & Castell-Perez, M. E. (2005). Monte Carlo-based food irradiation simulator. J. Food Process Eng., 29(1), 72–88.
    Search in Google ScholarBack to article
  76. Kim, J., Moreira, R. G., Huang, Y., & Castell-Perez, M. E. (2007). 3-D dose distributions for optimum radiation treatment planning of complex foods. J. Food Eng., 79(1), 312–321.
    Search in Google ScholarBack to article
  77. Kim, J. (2014). Monte Carlo simulation of phytosanitary irradiation treatment for mangosteen using MRI-based geometry. J. Biosyst. Eng., 39(3), 205–214. https://doi.org/10.5307/JBE.2014.39.3.205(2014).
    Search in Google ScholarBack to article
  78. 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, 34(1), 19–29. https://doi.org/10.1007/s12647-018-0287-z.
    Search in Google ScholarBack to article
  79. Kataoka, N., Kawahara, D., & Sekiguchi, M. (2023). Uniform irradiation of table eggs in the shell with low-energy electron beams. Radiat. Phys. Chem., 202, 110553. https://doi.org/10.1016/j.radphyschem.2022.110553.
    Search in Google ScholarBack to article
  80. Sato, T., Iwamoto, Y., Hashimoto, S., Ogawa, T., Furuta, T., Abe, S. I., Kai, T., Matsuya, Y., Matsuda, N., Hirata, Y., Sekikawa, T., Yao, L., Tsai, P. E., Ratliff, H. N., Iwase, H., Sakaki, Y., Sugihara, K., Shigyo, N., Sihver, L., & Niita, K. (2024). Recent improvements of the particle and heavy ion transport code system – PHITS version 3.33. J. Nucl. Sci. Technol., 61(1), 127–135. https://doi.org/10.1080/00223131.2023.2275736.
    Search in Google ScholarBack to article
  81. Mannai, K., Askri, B., Loussaief, A., & Trabelsi, A. (2007). Evaluation using Geant4 of the transit dose in the Tunisian gamma irradiator for insect sterilization. Appl. Radiat. Isot., 65(6), 701–707.
    Search in Google ScholarBack to article
  82. El-Ouardi, Y., Aknouch, A., Dadouch, A., Mouhib, M., Maghnouj, A., Benmessaoud, M., & Yjjou, M. (2023). Control of transit doses by Monte Carlo simulation inside an ionization casemate housing of a 60Co gamma irradiator. Radiat. Phys. Chem., 206, 110776. https://doi.org/10.1016/j.radphyschem.2023.110776.
    Search in Google ScholarBack to article
  83. Shiha, M., Cygler, J. E., MacRae, R., & Heath, E. (2023). 4D Monte Carlo dose reconstructions using surface motion measurements. Phys. Med., 114, 103135. https://doi.org/10.1016/j.ejmp.2023.103135.
    Search in Google ScholarBack to article
  84. Moon, S., Han, H., Choi, C., Shin, B., Son, G., Kim, H., Kim, S., Kim, J., Yoon, I. G., Lee, K. H., & Kim, C. H. (2024). Towards accurate dose assessment for emergency industrial radiography source retrieval operations: A preliminary study of 4D Monte Carlo dose calculations. Nucl. Eng. Technol., 56(12), 5428–5436. https://doi.org/10.1016/j.net.2024.09.004.
    Search in Google ScholarBack to article
  85. Gholampourkashi, S., Cygler, J. E., Lavigne, B., & Heath, E. (2020). Validation of 4D Monte Carlo dose calculations using a programmable deformable lung phantom. Phys. Med., 76, 16–27. https://doi.org/10.1016/j.ejmp.2020.05.019.
    Search in Google ScholarBack to article
  86. Loussaief, A., Trabelsi, A., & Baccari, B. (2006). Extended gamma sources modelling using multipole expansion: Application to the Tunisian gamma source load planning. Radiat. Phys. Chem., 75(4), 463–472.
    Search in Google ScholarBack to article
  87. Loussaief, A., & Trabelsi, A. (2007). Dose mapping using multipole moments. Nucl. Instrum. Methods Phys. Res. Sect. A-Accel. Spectrom. Dect. Assoc. Equ., 580(1), 102–105.
    Search in Google ScholarBack to article
  88. Rezaeian, P., Ataenia, V., & Shafiei, S. (2017). An analytical method based on multipole moment expansion to calculate the flux distribution in Gammacell-220. Radiat. Phys. Chem., 141, 339–345. https://doi.org/10.1016/j.radphyschem.2017.08.003.
    Search in Google ScholarBack to article
  89. Belkadhi, K., & Manai, K. (2016). Dose calculation using a numerical method based on Haar wavelets integration. Nucl. Instrum. Methods Phys. Res. Sect. A-Accel. Spectrom. Dect. Assoc. Equ., 812, 73–80. https://doi.org/10.1016/j.nima.2015.12.057.
    Search in Google ScholarBack to article
  90. Singh, M., & Datta, D. (2020). Development of an algorithm for gamma dose mapping in irradiated product using TOPSIS and its validation. Radiat. Phys. Chem., 177, 109123. https://doi.org/10.1016/j.radphyschem.2020.109123.
    Search in Google ScholarBack to article
  91. Studenikin, F. R., Bliznyuk, U. A., Chernyaev, A. P., Khankin, V. V., & Krusanov, G. A. (2021). Impact of aluminum plates on uniformity of depth dose distribution in object during electron processing. Mosc. Univ. Phys. Bull., 76(1), S1–S7. https://doi.org/10.3103/S0027134922010106.
    Search in Google ScholarBack to article
  92. Studenikin, F. R., Bliznyuk, U. A., Chernyaev, A. P., Krusanov, G. A., Nikitchenko, A. D., Zolotov, S. A., & Ipatova, V. S. (2023). Electron beam modification for improving dose uniformity in irradiated objects. Eur. Phys. J. Spec. Top., 232(10), 1631–1635. https://doi.org/10.1140/epjs/s11734-023-00886-6.
    Search in Google ScholarBack to article
  93. Bliznyuk, U. A., Borshchegovskaya, P. Y., Zolotov, S. A., Ipatova, V. S., Krusanov, G. A., Nikitchenko, A. D., Studenikin, F. R., & Chernyaev, A. P. (2022). Determining the electron beam spectrum after passing through aluminum plates. Mosc. Univ. Phys. Bull., 77(4), 615–621. https://doi.org/10.3103/S0027134922040038.
    Search in Google ScholarBack to article
  94. Bliznyuk, U. A., Avdyukhina, V. M., Borshchegovskaya, P. Y., Ipatova, V. S., Nikitchenko, A. D., Studenikin, F. R., & Chernyaev, A. P. (2021). Estimating the accuracy of reconstructing bichromatic spectra of electron beams from depth dose distributions. Bull. Russ. Acad. Sci. Phys., 85(10), 1108–1112. https://doi.org/10.3103/S1062873821100099.
    Search in Google ScholarBack to article
  95. Bliznyuk, U. A., Borshchegovskaya, P. Y., Ipatova, V. S., Nikitchenko, A. D., Studenikin, F. R., & Chernyaev, P. (2022). Determining the beam spectrum of industrial electron accelerator using depth dose distribution. Bull. Russ. Acad. Sci. Phys., 86(4), 500–507. https://doi.org/10.3103/S1062873822040062.
    Search in Google ScholarBack to article
  96. Sohrabpour, M., Hassanzadeh, M., Shahriari, M., & Sharifzadeh, M. (2002). Gamma irradiator dose mapping simulation using the MCNP code and benchmarking with dosimetry. Appl. Radiat. Isot., 57(4), 537–542. https://doi.org/10.1016/S0969-8043(02)00130-6.
    Search in Google ScholarBack to article
  97. Sohrabpour, M., Hassanzadeh, M., Shahriari, M., & Sharifzadeh, M. (2002). Dose distribution of the IR-136 irradiator using a Monte Carlo code and comparison with dosimetry. Radiat. Phys. Chem., 63, 769–772.
    Search in Google ScholarBack to article
  98. Raisali, G. R., & Sohrabpour, M. (1993). Application of EGS4 computer code for determination of gamma ray spectrum and dose rate distribution in Gammacell 220. Radiat. Phys. Chem., 42, 799–805.
    Search in Google ScholarBack to article
  99. Weiss, D. E., & Stangeland, R. J. (2003). Dose prediction and process optimization in a gamma sterilization facility using 3-D Monte Carlo code. Radiat. Phys. Chem., 68(6), 947–958.
    Search in Google ScholarBack to article
  100. Oliveira, C., Salgado, J., Botelho, M. L., & Ferreira, L. M. (2000). Dose determination by Monte Carlo – A useful tool in gamma radiation process. Radiat. Phys. Chem., 57(3/6), 667–670.
    Search in Google ScholarBack to article
  101. Oliveira, C., Salgado, J., & Ferro De Carvalho, A. (2000). Dose rate determinations in the Portuguese gamma irradiation facility: Monte Carlo simulations and measurements. Radiat. Phys. Chem., 58(3), 279–285.
    Search in Google ScholarBack to article
  102. Belchior, A., Botelho, M. L., & Vaz, P. (2007). Monte Carlo simulations and dosimetric studies of an irradiation facility. Nucl. Instrum. Methods Phys. Res. Sect. A-Accel. Spectrom. Dect. Assoc. Equ., 580(1), 70–72. https://doi.org/10.1016/j.nima.2007.05.040.
    Search in Google ScholarBack to article
  103. Portugal, L., Cardoso, J., & Oliveira, C. (2010). Monte Carlo validation of the irradiator parameters of the Portuguese gamma irradiation facility after its replenishment. Appl. Radiat. Isot., 68(1), 190–195.
    Search in Google ScholarBack to article
  104. Gharbi, F., Kadri, O., Farah, K., & Mannai, K. (2005). Validation of GEANT code of CERN as predictive tool of dose rate measurement in the Tunisian gamma irradiation facility. Radiat. Phys. Chem., 74(2), 102–110.
    Search in Google ScholarBack to article
  105. Kadri, O., Gharbi, F., & Farah, K. (2005). Monte Carlo improvement of dose uniformity in gamma irradiation processing using the GEANT4 code. Nucl. Instrum. Methods Phys. Res. Sect. B-Beam Interact. Mater. Atoms, 239(4), 391–398.
    Search in Google ScholarBack to article
  106. Ounalli, L., Bhar, M., Mejri, A., Manai, K., Bouabidi, A., Abdallah, S. M., & Reguigui, N. (2017). Combining Monte Carlo simulations and dosimetry measurements for process control in the Tunisian Cobalt-60 irradiator after three half lives of the source. Nucl. Sci. Tech., 28(9), 1–10. https://doi.org/10.1007/s41365-017-0289-5.
    Search in Google ScholarBack to article
  107. Kim, Y. H., & Park, J. W. (2008). Dose rate simulation of a panoramic gamma irradiator using the MCNPX code and comparison with measurements. J. Nucl. Sci. Technol., 45, 325–328. https://doi.org/10.1080/00223131.2008.10875854.
    Search in Google ScholarBack to article
  108. Kang, C. M., Jung, S. T., Pyo, S. H., Seo, Y., Kang, W. G., Kim, J. K., Nho, Y. C., Park, J. S., & Choi, J. H. (2023). Characterization of the 2.5 MeV ELV electron accelerator electron source angular distribution using 3-D dose measurement and Monte Carlo simulations. Nucl. Eng. Technol., 55(12), 4678–4684. https://doi.org/10.1016/j.net.2023.09.004.
    Search in Google ScholarBack to article
  109. Khattab, K., Boush, M., & Alkassiri, H. (2013). Dose mapping simulation using the MCNP code for the Syrian gamma irradiation facility and benchmarking. Ann. Nucl. Energy, 58, 110–112. https://doi.org/10.1016/j.anucene.2012.11.009.
    Search in Google ScholarBack to article
  110. Mortuza, M. F., Lepore, L., Khedkar, K., Thangam, S., Nahar, A., Jamil, H. M., Bandi, L., & Alam, Md K. (2018). Comissioning 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. Radiat. Phys. Chem., 144, 256–264. https://doi.org/10.1016/j.radphyschem.2017.08.022.
    Search in Google ScholarBack to article
  111. Gual, M. R., Milian, F. M., Mesquita, A. Z., & Pereira, C. (2017). New source models to represent the irradiation process in panoramic gamma irradiator. Appl. Radiat. Isot., 128, 175–182. https://doi.org/10.1016/j.apradiso.2017.06.046.
    Search in Google ScholarBack to article
  112. Gual, M. R., Mesquita, A. Z., Ribeiro, E., & Grossi, P. A. (2017). Shielding verifications for a gamma irradiation facility considering the installation of a new automatic product loading system. Sci. Technol. Nucl. Install., 2017, 1–6. https://doi.org/10.1155/2017/7408645.
    Search in Google ScholarBack to article
  113. 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. Appl. Radiat. Isot., 144, 87–92. https://doi.org/10.1016/j.apradiso.2018.12.002.
    Search in Google ScholarBack to article
  114. Aknouch, A., Elouardi, Y., Mouhib, M., Sebihi, R., Didi, A., & Choukri, A. (2020). New approach to make cylindrical packaging products in rotation around their fixed axis during irradiation in the Monte Carlo simulation. Mosc. Univ. Phys. Bull., 75(5), 447–450. https://doi.org/10.3103/S0027134920050045.
    Search in Google ScholarBack to article
  115. Aknouch, A., Mouhib, M., Sebihi, R., Didi, A., El-Ouardi, Y., Boubekraoui, A., & Choukri, A. (2020). Monte Carlo simulation of the dose rate distribution of a Moroccan panoramic gamma irradiator using the MCNPX code. Mosc. Univ. Phys. Bull., 75(1), 35–38. https://doi.org/10.3103/S0027134920010026.
    Search in Google ScholarBack to article
  116. Kataoka, N., Kawahara, D., & Sekiguchi, M. (2021). Surface treatment of eggshells with low-energy electron beam. J. Radiat. Prot. Res., 46(1), 8–13. https://doi.org/10.14407/JRPR.2020.
    Search in Google ScholarBack to article
DOI: https://doi.org/10.2478/nuka-2025-0007 | Journal eISSN: 1508-5791 | Journal ISSN: 0029-5922
Journal RSS Feed
Language: English
Page range: 59 - 77
Submitted on: Mar 10, 2025
|
Accepted on: May 7, 2025
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Published on: Aug 22, 2025
Published by: Institute of Nuclear Chemistry and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Gamma irradiator,
Monte Carlo,
Radiation processing
Related subjects:
Chemistry,
Nuclear chemistry,
Physics,
Astronomy and astrophysics,
Physics, other

© 2025 Okky A. Firmansyah, Budhy Kurniawan, Bimo Saputro, Marta Walo, Urszula Gryczka, Nunung Nuraeni, published by Institute of Nuclear Chemistry and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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