标题:Monte Carlo calculations of energy deposition distributions of electrons below 20 keV in protein
作者:Zhenyu Tan;Wei Liu
作者机构:[Tan, Z] School of Electrical Engineering, Shandong University, Jinan 250061, Shandong, China;[ Liu, W] School of Electrical Engineering, Shandong Uni 更多
通讯作者:Tan, Z
通讯作者地址:[Tan, ZY]Shandong Univ, Sch Elect Engn, Jinan 250061, Shandong, Peoples R China.
来源:Radiation and Environmental Biophysics
出版年:2014
卷:53
期:2
页码:427-435
DOI:10.1007/s00411-014-0518-9
关键词:Energy deposition;Electron range;Protein;Monte Carlo simulation;Radiation effect
摘要: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.
收录类别:EI;SCOPUS;SCIE
WOS核心被引频次:2
Scopus被引频次:2
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902535553&doi=10.1007%2fs00411-014-0518-9&partnerID=40&md5=dd0058c041c3fcd982e4af611b892bd8
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