https://doi.org/10.1051/epjconf/202226103001
Extension of the BIANCA biophysical model up to Fe-ions and applications for space radiation research
1
INFN (Italian National Institute for Nuclear Physics), Sezione di Pavia, via Bassi 6, I-27100 Pavia, Italy
2
ENEA, Istituto Nazionale di Metrologia delle Radiazioni Ionizzanti, Roma Italy
3
University of Pavia, Physics Department, via Bassi 6, I-27100 Pavia, Italy
4
University Hospital Heidelberg, Germany
5
Gangneung-Wonju National University, Gangneung, Korea
6
INFN (Italian National Institute for Nuclear Physics), Sezione di Milano, via Celoria 16, I-20133, Milano, Italy
* Corresponding author: ricardo.ramos@pv.infn.it
Published online: 11 April 2022
BIANCA (BIophysical ANalysis of Cell death and chromosome Aberrations) is a biophysical model, implemented as a Monte Carlo code, which simulates the induction of chromosome aberrations and cell death by different monochromatic ion beams (i.e., different ion types and energy values), as well as photons. In previous works, the model predictions for cell survival and lymphocyte dicentrics along therapeutic-like ion beams have been successfully benchmarked against experimental data. With the aim of evaluating the biological damage induced by Galactic Cosmic Rays (GCR), in this study BIANCA was extended up to Fe-ions. A radiobiological database describing human skin fibroblast cell survival and lymphocyte dicentrics as a function of ion type (1≤Z≤26) and energy, as well as dose, was constructed. Afterwards, interfacing BIANCA with the FLUKA Monte Carlo transport code, a feasibility study was performed to calculate the Relative Biological Effectiveness (RBE) of Galactic Cosmic Rays, both for dicentrics and for cell survival; the results were discussed with respect to available space radiation protection limits. Following this work, BIANCA can now provide RBE predictions of cell killing, which can be related to deterministic effects, and lymphocyte dicentrics, more related to stochastic effects, for space radiation exposure.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
