Literature DB >> 21594646

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.

Ianik Plante1.   

Abstract

The importance of the radiolysis of water in the initial events following irradiation of biological systems has motivated considerable theoretical and experimental work in the field of radiation chemistry of water and aqueous systems. These studies include Monte-Carlo simulations of the radiation track structure and of the non-homogeneous chemical stage, which have been successfully used to calculate the yields of radiolytic species (H(·), (·)OH, H(2), H(2)O(2), e (aq) (-) , …). Most techniques used for the simulation of the non-homogeneous chemical stage such as the independent reaction time (IRT) technique and diffusion kinetics methods do not calculate the time evolution of the positions of the radiolytic species. This is a major limitation to their extension to the simulation of the irradiation of radiobiological systems. Step-by-step (SBS) simulation programs provide such information, but they are very demanding in term of computer power and storage capacity. Recent improvements in computer performance now allow the regular use of the SBS method in radiation chemistry simulations. In the first of a series of two papers, the SBS method has been reviewed in details and the implementation of a SBS code has been discussed. In this second paper, the results of several studies are presented: (1) the time evolution of the radiolytic yields from the formation of the radiation track to 10(-6) s; (2) the effect of pH on yields (pH ~ 0.4-7.0); (3) the effect of proton energy (and LET) on yields (300 MeV-0.1 MeV), and iv) the effect of the ion type ((1)H(+), (4)He(2+), (12)C(6+)) on yields. Nonbiological applications, i.e., the study of the temperature on the yields (about 25-300°C) and the simulation of the time evolution of G(Fe(3+)) in the Fricke dosimeter are also discussed.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21594646     DOI: 10.1007/s00411-011-0368-7

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


  13 in total

1.  Cross sections for low-energy (1-100 eV) electron elastic and inelastic scattering in amorphous ice.

Authors:  M Michaud; A Wen; L Sanche
Journal:  Radiat Res       Date:  2003-01       Impact factor: 2.841

2.  A comparison of ionization, calorimetric and ferrous sulphate dosimetry.

Authors:  J V DAVIES; D GREENE; J P KEENE; J LAW; J B MASSEY
Journal:  Phys Med Biol       Date:  1963-04       Impact factor: 3.609

3.  The relative biological effectiveness of 22-Mevp x-rays, cobalt-60 gamma rays, and 200-Kvcp x-rays. II. The use of the ferrous sulfate dosimeter for x-ray and gamma-ray beams.

Authors:  R J SHALEK; W K SINCLAIR; J C CALKINS
Journal:  Radiat Res       Date:  1962-03       Impact factor: 2.841

4.  Molecular product and free radical yields of ionizing radiations in aqueous solutions.

Authors:  E J HART
Journal:  Radiat Res       Date:  1954-02       Impact factor: 2.841

Review 5.  Radiation chemistry comes before radiation biology.

Authors:  Peter O'Neill; Peter Wardman
Journal:  Int J Radiat Biol       Date:  2009-01       Impact factor: 2.694

6.  OH radicals and oxidizing products in the gamma radiolysis of water.

Authors:  J A LaVerne
Journal:  Radiat Res       Date:  2000-02       Impact factor: 2.841

7.  The primary species yields in the 60Co gamma-ray radiolysis of aqueous solutions of H2SO4 Between pH 7 and 0.46.

Authors:  K Sehested; E Bjergbakke; H Fricke
Journal:  Radiat Res       Date:  1973-11       Impact factor: 2.841

8.  High-LET radiolysis of liquid water with 1H+, 4He2+, 12C6+, and 20Ne9+ ions: effects of multiple ionization.

Authors:  Jintana Meesungnoen; Jean-Paul Jay-Gerin
Journal:  J Phys Chem A       Date:  2005-07-28       Impact factor: 2.781

9.  LET dependence of transient yields in the pulse radiolysis of aqueous systems with deuterons and alpha particles.

Authors:  M C Sauer; K H Schmidt; E J Hart; C A Naleway; C D Jonah
Journal:  Radiat Res       Date:  1977-04       Impact factor: 2.841

10.  Calibration of the ferrous sulfate dosimeter by ionometric and calorimetric methods for radiations of a wide range of energy.

Authors:  A O Fregene
Journal:  Radiat Res       Date:  1967-06       Impact factor: 2.841

View more
  6 in total

1.  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.

Authors:  Ianik Plante
Journal:  Radiat Environ Biophys       Date:  2011-05-12       Impact factor: 1.925

2.  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

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.  LET-Dependent Intertrack Yields in Proton Irradiation at Ultra-High Dose Rates Relevant for FLASH Therapy.

Authors:  J Ramos-Méndez; N Domínguez-Kondo; J Schuemann; A McNamara; E Moreno-Barbosa; Bruce Faddegon
Journal:  Radiat Res       Date:  2020-10-02       Impact factor: 2.841

6.  Reactivation of Latent Epstein-Barr Virus: A Comparison after Exposure to Gamma, Proton, Carbon, and Iron Radiation.

Authors:  Satish K Mehta; David C Bloom; Ianik Plante; Raymond Stowe; Alan H Feiveson; Ashlie Renner; Adit Dhummakupt; Dhruv Markan; Ye Zhang; Honglu Wu; Blaire Scoles; Jeffrey I Cohen; Brian Crucian; Duane L Pierson
Journal:  Int J Mol Sci       Date:  2018-09-28       Impact factor: 5.923

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.