Literature DB >> 28650774

Monte Carlo Electron Track Structure Calculations in Liquid Water Using a New Model Dielectric Response Function.

Dimitris Emfietzoglou1, George Papamichael1,2, Hooshang Nikjoo3.   

Abstract

Monte Carlo track structure codes provide valuable information for understanding radiation effects down to the DNA level, where experimental measurements are most difficult or unavailable. It is well recognized that the performance of such codes, especially at low energies and/or subcellular level, critically depends on the reliability of the interaction cross sections that are used as input in the simulation. For biological media such as liquid water, one of the most challenging issues is the role of condensed-phase effects. For inelastic scattering, such effects can be conveniently accounted for through the complex dielectric response function of the media. However, for this function to be useful it must fulfill some important sum rules and have a simple analytic form for arbitrary energy- and momentum-transfer. The Emfietzoglou-Cucinotta-Nikjoo (ECN) model offers a practical, self-consistent and fully analytic parameterization of the dielectric function of liquid water based on the best available experimental data. An important feature of the ECN model is that it includes, in a phenomenological manner, exchange and correlation effects among the screening electrons, thus, going beyond the random-phase approximation implicit in earlier models. In this work, inelastic cross sections beyond the plane wave Born approximation are calculated for low-energy electrons (10 eV-10 keV) based on the ECN model, and used for Monte Carlo track structure simulations of physical quantities relevant to the microdosimetry of low-energy electrons in liquid water. Important new developments in the physics of inelastic scattering are discussed and their effect on electron track structure is investigated by a comparison against simulations (under otherwise identical conditions) using the Born approximation and a simpler form of the dielectric function based on the Oak Ridge National Laboratory model. The results reveal that both the dielectric function and the corrections to the Born approximation may have a sizeable effect on track structure calculations at the nanometer scale (DNA level), where the details of inelastic scattering and the role of low-energy electrons are most critical.

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Year:  2017        PMID: 28650774     DOI: 10.1667/RR14705.1

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  12 in total

1.  A parameter sensitivity study for simulating DNA damage after proton irradiation using TOPAS-nBio.

Authors:  Hongyu Zhu; Aimee L McNamara; Jose Ramos-Mendez; Stephen J McMahon; Nicholas T Henthorn; Bruce Faddegon; Kathryn D Held; Joseph Perl; Junli Li; Harald Paganetti; Jan Schuemann
Journal:  Phys Med Biol       Date:  2020-04-23       Impact factor: 3.609

2.  Intercomparison of dose enhancement ratio and secondary electron spectra for gold nanoparticles irradiated by X-rays calculated using multiple Monte Carlo simulation codes.

Authors:  W B Li; A Belchior; M Beuve; Y Z Chen; S Di Maria; W Friedland; B Gervais; B Heide; N Hocine; A Ipatov; A P Klapproth; C Y Li; J L Li; G Multhoff; F Poignant; R Qiu; H Rabus; B Rudek; J Schuemann; S Stangl; E Testa; C Villagrasa; W Z Xie; Y B Zhang
Journal:  Phys Med       Date:  2020-01-06       Impact factor: 2.685

3.  Energy optimization in gold nanoparticle enhanced radiation therapy.

Authors:  Wonmo Sung; Jan Schuemann
Journal:  Phys Med Biol       Date:  2018-06-25       Impact factor: 3.609

4.  Combined cell and nanoparticle models for TOPAS to study radiation dose enhancement in cell organelles.

Authors:  Marc Benjamin Hahn; Julián Mateo Zutta Villate
Journal:  Sci Rep       Date:  2021-03-24       Impact factor: 4.379

Review 5.  Ionizing Radiation and Complex DNA Damage: From Prediction to Detection Challenges and Biological Significance.

Authors:  Ifigeneia V Mavragani; Zacharenia Nikitaki; Spyridon A Kalospyros; Alexandros G Georgakilas
Journal:  Cancers (Basel)       Date:  2019-11-14       Impact factor: 6.639

6.  A Mathematical Radiobiological Model (MRM) to Predict Complex DNA Damage and Cell Survival for Ionizing Particle Radiations of Varying Quality.

Authors:  Spyridon A Kalospyros; Zacharenia Nikitaki; Ioanna Kyriakou; Michael Kokkoris; Dimitris Emfietzoglou; Alexandros G Georgakilas
Journal:  Molecules       Date:  2021-02-05       Impact factor: 4.411

Review 7.  Review of the Geant4-DNA Simulation Toolkit for Radiobiological Applications at the Cellular and DNA Level.

Authors:  Ioanna Kyriakou; Dousatsu Sakata; Hoang Ngoc Tran; Yann Perrot; Wook-Geun Shin; Nathanael Lampe; Sara Zein; Marie Claude Bordage; Susanna Guatelli; Carmen Villagrasa; Dimitris Emfietzoglou; Sébastien Incerti
Journal:  Cancers (Basel)       Date:  2021-12-22       Impact factor: 6.639

8.  Low-energy electron distributions from the photoionization of liquid water: a sensitive test of electron mean free paths.

Authors:  Titouan Gadeyne; Pengju Zhang; Axel Schild; Hans Jakob Wörner
Journal:  Chem Sci       Date:  2022-01-06       Impact factor: 9.825

9.  Recent Developments on gMicroMC: Transport Simulations of Proton and Heavy Ions and Concurrent Transport of Radicals and DNA.

Authors:  Youfang Lai; Xun Jia; Yujie Chi
Journal:  Int J Mol Sci       Date:  2021-06-21       Impact factor: 5.923

Review 10.  Ionizing Radiation and Complex DNA Damage: Quantifying the Radiobiological Damage Using Monte Carlo Simulations.

Authors:  Konstantinos P Chatzipapas; Panagiotis Papadimitroulas; Dimitris Emfietzoglou; Spyridon A Kalospyros; Megumi Hada; Alexandros G Georgakilas; George C Kagadis
Journal:  Cancers (Basel)       Date:  2020-03-26       Impact factor: 6.639

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