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Erschienen in: Radiological Physics and Technology 1/2023

23.12.2022 | Research Article

Shielding performance of multi-metal nanoparticle composites for diagnostic radiology: an MCNPX and Geant4 study

verfasst von: Nikan Asadpour, Reza Malekzadeh, Saeed Rajabpour, Soheila Refahi, Parinaz Mehnati, Ahmad Shanei

Erschienen in: Radiological Physics and Technology | Ausgabe 1/2023

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Abstract

Lead-free polymer composite shields are used in diagnostic radiology to protect patients from unnecessary radiation exposure. This study aimed to examine and introduce the radiation-shielding properties of single- and multi-metal nanoparticle (NP)-based composites containing Bi, W, and Sn using Geant4, MCNPX, and XCom for radiological applications. The mass attenuation coefficients and effective atomic numbers of single- and multi-metal NP-loaded polymer composites were calculated using the Geant4 and MCNPX simulation codes for X-ray energies of 20–140 keV. The nano-sized fillers inside the polydimethylsiloxane (PDMS:C2H6SiO) matrix included W (K = 69.5 keV), Bi (K = 90.5 keV), and Sn (K = 29.20 keV). For single-metal shields, one filler was used, while in multi-metal shields, two fillers were required. The MCNPX and Geant4 simulation results were compared with the XCom results. The multi-metal NP composites exhibited higher attenuation over a larger energy range owing to their attenuation windows. In addition, Bi2O3 + WO3 NPs showed a 39% higher attenuation at 100–140 keV, and that of Bi2O3 + SnO2 NPs was higher at 40–60 keV. Meanwhile, the WO3 + SnO2 NPs exhibited lower attenuation. The difference between the results obtained using Geant4 and XCom was less than 2%, because these codes have similar simulation structures. The results show that the shielding performance of the Bi2O3 + WO3 filler is better than that of the other single- and multi-metal fillers. In addition, it was found that the Geant4 code was more accurate for simulating radiation composites.
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Metadaten
Titel
Shielding performance of multi-metal nanoparticle composites for diagnostic radiology: an MCNPX and Geant4 study
verfasst von
Nikan Asadpour
Reza Malekzadeh
Saeed Rajabpour
Soheila Refahi
Parinaz Mehnati
Ahmad Shanei
Publikationsdatum
23.12.2022
Verlag
Springer Nature Singapore
Erschienen in
Radiological Physics and Technology / Ausgabe 1/2023
Print ISSN: 1865-0333
Elektronische ISSN: 1865-0341
DOI
https://doi.org/10.1007/s12194-022-00690-2

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