Investigation of hydrogen peroxide yields and oxygen consumption in high dose rate irradiation: a TOPAS-nBio Monte Carlo study

<i>Objective.</i>TOPAS-nBio enables users to simulate dose rate-dependent radiation chemical yields in water radiolysis accounting for inter-track and long-term chemistry for pulsed irradiation. This study aims to extend the TOPAS-nBio chemistry for the special case of continuous high-dose rate scenario, where both intertrack and longer time reactions need to be considered, and to quantitatively validate the extended framework by comparing the results with experimental data.<i>Approach.</i>The inter-track chemistry and escape<i>G</i>-values were first evaluated by the independent reaction time method. The escaping molecules were assumed to have a temporally continuous distribution based on the<i>G</i>-values using the Gillespie algorithm. The simulation results were comprehensively validated by comparing with the experimental data at different dose rates, temporal pulse shapes, and solutions. In addition, the influence of various factors, such as the chemistry model, simulation volume, temperature, pH concentration, and organic carbon contamination, was evaluated.<i>Main results.</i>The validation results showed that the H<sub>2</sub>O<sub>2</sub>concentration and O<sub>2</sub>consumption increased with dose rate, and agreed within 3% with experimental data. Computational factors related to the chemistry model and volume size were negligible. pH and temperature had an impact of less than 10% in the experimental range. The presence of organic carbon and resulting reactions doubled H<sub>2</sub>O<sub>2</sub>yields and significantly increased O<sub>2</sub>consumption by about an order of magnitude at lower dose rates, while the results are almost unchanged at higher dose rates. Consequently, the dose rate dependence of H<sub>2</sub>O<sub>2</sub>yields and O<sub>2</sub>consumption were reversed at a certain organic carbon concentration compared to the pure water results.<i>Significance.</i>The extended TOPAS-nBio chemistry framework enables the reproduction of the dose-rate dependent radiation chemical yields of several experimental studies at different dose rates, temporal pulse shapes, and solutions. This new functionality is necessary to investigate recent high dose rate (FLASH) experimental results.

Authors

Institutions

Publication Details

Journal
Physics in Medicine and Biology
Published
2024-12-10
DOI
https://doi.org/10.1088/1361-6560/ad9ce2
Citations
8
Primary Topic
Radiation Effects and Dosimetry
Type
article
Field-Weighted Citation Impact
2.79

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of hydrogen peroxide yields and oxygen consumption in high dose rate irradiation: a TOPAS-nBio Monte Carlo study

J Naoki D-Kondo, Jay A. LaVerne, Bruce Faddegon, Jan Schuemann et al.
8 citations
Physics in Medicine and Biology
Radiation Effects and Dosimetry
2.79
article

Investigation of hydrogen peroxide yields and oxygen consumption in high dose rate irradiation: a TOPAS-nBio Monte Carlo study

J Naoki D-Kondo, Jay A. LaVerne, Bruce Faddegon, Jan Schuemann, Wook‐Geun Shin, Bethany Rothwell, Harald Paganetti, Aimee L. McNamara, Alejandro Bertolet, José Ramos‐Méndez
article en
8 citations

Abstract

<i>Objective.</i>TOPAS-nBio enables users to simulate dose rate-dependent radiation chemical yields in water radiolysis accounting for inter-track and long-term chemistry for pulsed irradiation. This study aims to extend the TOPAS-nBio chemistry for the special case of continuous high-dose rate scenario, where both intertrack and longer time reactions need to be considered, and to quantitatively validate the extended framework by comparing the results with experimental data.<i>Approach.</i>The inter-track chemistry and escape<i>G</i>-values were first evaluated by the independent reaction time method. The escaping molecules were assumed to have a temporally continuous distribution based on the<i>G</i>-values using the Gillespie algorithm. The simulation results were comprehensively validated by comparing with the experimental data at different dose rates, temporal pulse shapes, and solutions. In addition, the influence of various factors, such as the chemistry model, simulation volume, temperature, pH concentration, and organic carbon contamination, was evaluated.<i>Main results.</i>The validation results showed that the H<sub>2</sub>O<sub>2</sub>concentration and O<sub>2</sub>consumption increased with dose rate, and agreed within 3% with experimental data. Computational factors related to the chemistry model and volume size were negligible. pH and temperature had an impact of less than 10% in the experimental range. The presence of organic carbon and resulting reactions doubled H<sub>2</sub>O<sub>2</sub>yields and significantly increased O<sub>2</sub>consumption by about an order of magnitude at lower dose rates, while the results are almost unchanged at higher dose rates. Consequently, the dose rate dependence of H<sub>2</sub>O<sub>2</sub>yields and O<sub>2</sub>consumption were reversed at a certain organic carbon concentration compared to the pure water results.<i>Significance.</i>The extended TOPAS-nBio chemistry framework enables the reproduction of the dose-rate dependent radiation chemical yields of several experimental studies at different dose rates, temporal pulse shapes, and solutions. This new functionality is necessary to investigate recent high dose rate (FLASH) experimental results.

Physics in Medicine and BiologyVol. 70(1)
University of Notre Dame (US), University of California, San Francisco (US), Massachusetts General Hospital (US), Madison Group (United States) (US), UCSF Helen Diller Family Comprehensive Cancer Center (US)
Ministry of Science and ICT, South Korea, National Institutes of Health, National Cancer Institute
Clean water and sanitation
Openalex Percentile: Top 10%
Radiation Effects and Dosimetry
2.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.