Literature DB >> 21562854

A Monte-Carlo step-by-step simulation code of the non-homogeneous chemistry of the radiolysis of water and aqueous solutions. Part I: theoretical framework and implementation.

Ianik Plante1.   

Abstract

The importance of the radiolysis of water in irradiation of biological systems has motivated considerable theoretical and experimental work in the radiation chemistry of water and aqueous solutions. In particular, Monte-Carlo simulations of radiation track structure and non-homogeneous chemistry have greatly contributed to the understanding of experimental results in radiation chemistry of heavy ions. Actually, most simulations of the non-homogeneous chemistry are done using the Independent Reaction Time (IRT) method, a very fast technique. The main limitation of the IRT method is that the positions of the radiolytic species are not calculated as a function of time, which is needed to simulate the irradiation of more complex systems. Step-by-step (SBS) methods, which are able to provide such information, have been used only sparsely because these are time consuming in terms of calculation. Recent improvements in computer performance now allow the regular use of the SBS method in radiation chemistry. In the present paper, the first of a series of two, the SBS method is reviewed in detail. To these ends, simulation of diffusion of particles and chemical reactions in aqueous solutions is reviewed, and implementation of the program is discussed. Simulation of model systems is then performed to validate the adequacy of stepwise diffusion and reaction schemes. In the second paper, radiochemical yields of simulated radiation tracks calculated by the SBS program in different conditions of LET, pH, and temperature are compared with results from the IRT program and experimental data.

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Year:  2011        PMID: 21562854     DOI: 10.1007/s00411-011-0367-8

Source DB:  PubMed          Journal:  Radiat Environ Biophys        ISSN: 0301-634X            Impact factor:   1.925


  12 in total

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Journal:  Radiat Environ Biophys       Date:  2000-09       Impact factor: 1.925

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Journal:  Biophys J       Date:  2004-02       Impact factor: 4.033

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5.  Theory and simulation of diffusion-controlled Michaelis-Menten kinetics for a static enzyme in solution.

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Journal:  J Phys Chem B       Date:  2008-01-26       Impact factor: 2.991

Review 6.  Radiation chemistry comes before radiation biology.

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Authors:  B P Olveczky; A S Verkman
Journal:  Biophys J       Date:  1998-05       Impact factor: 4.033

8.  Monte Carlo simulation of water radiolysis for low-energy charged particles.

Authors:  Shuzo Uehara; Hooshang Nikjoo
Journal:  J Radiat Res       Date:  2006-03       Impact factor: 2.724

9.  Computer-aided stochastic modeling of the radiolysis of liquid water.

Authors:  V Michalik; M Begusová; E A Bigildeev
Journal:  Radiat Res       Date:  1998-03       Impact factor: 2.841

10.  A Monte-Carlo step-by-step simulation code of the non-homogeneous chemistry of the radiolysis of water and aqueous solutions--Part II: calculation of radiolytic yields under different conditions of LET, pH, and temperature.

Authors:  Ianik Plante
Journal:  Radiat Environ Biophys       Date:  2011-05-19       Impact factor: 1.925

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  6 in total

1.  Accelerated Monte Carlo simulation on the chemical stage in water radiolysis using GPU.

Authors:  Zhen Tian; Steve B Jiang; Xun Jia
Journal:  Phys Med Biol       Date:  2017-03-21       Impact factor: 3.609

2.  A Monte-Carlo step-by-step simulation code of the non-homogeneous chemistry of the radiolysis of water and aqueous solutions--Part II: calculation of radiolytic yields under different conditions of LET, pH, and temperature.

Authors:  Ianik Plante
Journal:  Radiat Environ Biophys       Date:  2011-05-19       Impact factor: 1.925

3.  Monte Carlo simulation of chemistry following radiolysis with TOPAS-nBio.

Authors:  J Ramos-Méndez; J Perl; J Schuemann; A McNamara; H Paganetti; B Faddegon
Journal:  Phys Med Biol       Date:  2018-05-17       Impact factor: 3.609

4.  Generalized stochastic microdosimetric model: The main formulation.

Authors:  F Cordoni; M Missiaggia; A Attili; S M Welford; E Scifoni; C La Tessa
Journal:  Phys Rev E       Date:  2021-01       Impact factor: 2.529

5.  Quantitative estimation of track segment yields of water radiolysis species under heavy ions around Bragg peak energies using Geant4-DNA.

Authors:  Kentaro Baba; Tamon Kusumoto; Shogo Okada; Ryo Ogawara; Satoshi Kodaira; Quentin Raffy; Rémi Barillon; Nicolas Ludwig; Catherine Galindo; Philippe Peaupardin; Masayori Ishikawa
Journal:  Sci Rep       Date:  2021-01-15       Impact factor: 4.379

6.  Modeling the effect of oxygen on the chemical stage of water radiolysis using GPU-based microscopic Monte Carlo simulations, with an application in FLASH radiotherapy.

Authors:  Youfang Lai; Xun Jia; Yujie Chi
Journal:  Phys Med Biol       Date:  2021-01-26       Impact factor: 3.609

  6 in total

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