ArticleRadiation and environmental biophysics2011
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.
Article in Radiation and environmental biophysics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Development of a temperature-dependent chemical simulation code based on PHITS for water radiolysis from 0 to 350 °C.Scientific reports · 2026Article
- TOPAS-nBio-Reg: a regression testing system for track structure simulations in TOPAS-nBio.Physics in medicine and biology · 2025Article
- Recent updates of the MPEXS2.1-DNA Monte Carlo code for simulations of water radiolysis under ion irradiation.Scientific reports · 2025Article
- Investigation of hydrogen peroxide yields and oxygen consumption in high dose rate irradiation: a TOPAS-nBio Monte Carlo study.Physics in medicine and biology · 2024Article
- Lithium inelastic cross-sections and their impact on micro and nano dosimetry of boron neutron capture.Physics in medicine and biology · 2024Article
- Modeling ultra-high dose rate electron and proton FLASH effect with the physicochemical approach.Physics in medicine and biology · 2023Article
- GEANT4-DNA simulation of temperature-dependent and pH-dependent yields of chemical radiolytic species.Physics in medicine and biology · 2023Article
- TRAX-CHEMxt: Towards the Homogeneous Chemical Stage of Radiation Damage.International journal of molecular sciences · 2023Article
- TOPAS-nBio simulation of temperature-dependent indirect DNA strand break yields.Physics in medicine and biology · 2022Article
- Generalized stochastic microdosimetric model: The main formulation.Physical review. E · 2021Article
- LET-Dependent Intertrack Yields in Proton Irradiation at Ultra-High Dose Rates Relevant for FLASH Therapy.Radiation research · 2020Article
- Reactivation of Latent Epstein-Barr Virus: A Comparison after Exposure to Gamma, Proton, Carbon, and Iron Radiation.International journal of molecular sciences · 2018Article
- Monte Carlo simulation of chemistry following radiolysis with TOPAS-nBio.Physics in medicine and biology · 2018Article
- Accelerated Monte Carlo simulation on the chemical stage in water radiolysis using GPU.Physics in medicine and biology · 2017Article
- 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.Radiation and environmental biophysics · 2011Article
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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.
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