Development of a chemical code applicable to ions based on the PHITS code for efficient and visual radiolysis simulations†

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL Physical Chemistry Chemical Physics Pub Date : 2025-03-21 DOI:10.1039/D4CP04216F
Yusuke Matsuya, Yuji Yoshii, Tamon Kusumoto, Tatsuhiko Ogawa, Seiki Ohnishi, Yuho Hirata, Tatsuhiko Sato and Takeshi Kai
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Abstract

Water radiolysis plays an important role in elucidating radiation-induced biological effects such as early DNA damage induction, chromosome aberrations, and carcinogenesis. Several Monte Carlo simulation codes for water radiolysis, commonly referred to as chemical simulation codes, have been developed worldwide. However, these codes typically require substantial computational time to calculate the time-dependent G values of water radiolysis species (e.g., ˙OH, eaq, H2, and H2O2), and their application is often limited to specific ion beam types. In the Particle and Heavy Ion Transport code System (PHITS), the track-structure mode that allows the simulation of each atomic interaction in liquid water for any charged particles and the subsequent chemical code (named PHITS-Chem code) dedicated to electrons was developed previously. In this study, we developed the PHITS-Chem code to support a broader range of ion beam species. To reduce computational time, we introduced new features including a space partitioning method to increase the detection efficiency of reactions between chemical species and a radical scavenger model that reduces the lifetime of OH radicals. We benchmarked the updated PHITS-Chem code by comparing its predicted time-dependent G values for protons, α particles, and carbon ions with those reported in the literature (i.e., other simulation and measured data). The inclusion of a space partitioning method and the modified OH radical scavenger model reduced the time required by the PHITS-Chem code to calculate G values (by approximately 28-fold during radiolysis simulations under 1-MeV electron exposure) while maintaining calculation accuracy. A key advantage of the PHITS-Chem code is the four-dimensional visualization capability, integrated with PHITS′ native visualization software, PHIG-3D. Considering the ability of the PHITS-Chem code to handle OH radical scavengers (i.e., tris(hydroxymethyl)aminomethane and dimethyl sulfoxide), it is anticipated to offer precise and intuitive insights into the radiation-induced biological effects of chemical species in ion-beam radiotherapy.

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基于PHITS代码开发一种适用于离子的化学代码,用于高效和可视化的辐射分解模拟
水辐射解在阐明辐射诱导的生物学效应,如早期DNA损伤诱导、染色体畸变和致癌等方面起着重要作用。世界范围内已经开发了几种用于水辐射分解的蒙特卡罗模拟代码,通常称为化学模拟代码。然而,这些代码通常需要大量的计算时间来计算水辐射分解物质(例如,˙OH, e- aq, H2和H2O2)的随时间变化的G值,并且它们的应用通常仅限于特定的离子束类型。在粒子和重离子传输代码系统(PHITS)中,轨道结构模式允许模拟液态水中任何带电粒子的每个原子相互作用,随后的化学代码(称为PHITS- chem代码)专门用于电子,这是先前开发的。在这项研究中,我们开发了PHITS-Chem代码来支持更广泛的离子束种类。为了减少计算时间,我们引入了新的特征,包括空间划分方法,以提高化学物质之间反应的检测效率和自由基清除剂模型,以减少OH自由基的寿命。我们对更新后的PHITS-Chem代码进行基准测试,将其预测的质子、α粒子和碳离子的随时间变化的G值与文献中报道的G值(即其他模拟和测量数据)进行比较。包含空间划分方法和改进的OH自由基清除剂模型减少了PHITS-Chem代码计算G值所需的时间(在1-MeV电子暴露下的辐射分解模拟中减少了大约28倍),同时保持了计算精度。PHITS- chem代码的一个关键优势是四维可视化能力,与PHITS的本地可视化软件PHIG-3D集成。考虑到PHITS-Chem代码处理OH自由基清除剂(即三(羟甲基)氨基甲烷和二甲基亚砜)的能力,预计它将为离子束放疗中化学物质的辐射诱导生物效应提供精确和直观的见解。
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Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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