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Monte Carlo calculations of energy deposition distributions of electrons below 20 keV in protein

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Abstract

The distributions of energy depositions of electrons in semi-infinite bulk protein and the radial dose distributions of point-isotropic mono-energetic electron sources [i.e., the so-called dose point kernel (DPK)] in protein have been systematically calculated in the energy range below 20 keV, based on Monte Carlo methods. The ranges of electrons have been evaluated by extrapolating two calculated distributions, respectively, and the evaluated ranges of electrons are compared with the electron mean path length in protein which has been calculated by using electron inelastic cross sections described in this work in the continuous-slowing-down approximation. It has been found that for a given energy, the electron mean path length is smaller than the electron range evaluated from DPK, but it is large compared to the electron range obtained from the energy deposition distributions of electrons in semi-infinite bulk protein. The energy dependences of the extrapolated electron ranges based on the two investigated distributions are given, respectively, in a power-law form. In addition, the DPK in protein has also been compared with that in liquid water. An evident difference between the two DPKs is observed. The calculations presented in this work may be useful in studies of radiation effects on proteins.

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Acknowledgments

The authors are grateful to Drs. D. C. Joy and C. S. Joy of the University of Tennessee for providing their database of the compiled experimental data of electron backscattered coefficients. This work was supported by the Foundation of Ministry of Education of China under Grant No.20120131110012.

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  1. School of Electrical Engineering, Shandong University, Jinan, 250061, Shandong, People’s Republic of China

    Zhenyu Tan & Wei Liu

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  1. Zhenyu Tan
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Correspondence to Zhenyu Tan.

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Tan, Z., Liu, W. Monte Carlo calculations of energy deposition distributions of electrons below 20 keV in protein. Radiat Environ Biophys 53, 427–435 (2014). https://doi.org/10.1007/s00411-014-0518-9

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