辐射剂量学和空间辐射效应的生物物理模型。

Francis A Cucinotta, Honglu Wu, Mark R Shavers, Kerry George
{"title":"辐射剂量学和空间辐射效应的生物物理模型。","authors":"Francis A Cucinotta,&nbsp;Honglu Wu,&nbsp;Mark R Shavers,&nbsp;Kerry George","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Estimating the biological risks from space radiation remains a difficult problem because of the many radiation types including protons, heavy ions, and secondary neutrons, and the absence of epidemiology data for these radiation types. Developing useful biophysical parameters or models that relate energy deposition by space particles to the probabilities of biological outcomes is a complex problem. Physical measurements of space radiation include the absorbed dose, dose equivalent, and linear energy transfer (LET) spectra. In contrast to conventional dosimetric methods, models of radiation track structure provide descriptions of energy deposition events in biomolecules, cells, or tissues, which can be used to develop biophysical models of radiation risks. In this paper, we address the biophysical description of heavy particle tracks in the context of the interpretation of both space radiation dosimetry and radiobiology data, which may provide insights into new approaches to these problems.</p>","PeriodicalId":81348,"journal":{"name":"Gravitational and space biology bulletin : publication of the American Society for Gravitational and Space Biology","volume":"16 2","pages":"11-8"},"PeriodicalIF":0.0000,"publicationDate":"2003-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Radiation dosimetry and biophysical models of space radiation effects.\",\"authors\":\"Francis A Cucinotta,&nbsp;Honglu Wu,&nbsp;Mark R Shavers,&nbsp;Kerry George\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Estimating the biological risks from space radiation remains a difficult problem because of the many radiation types including protons, heavy ions, and secondary neutrons, and the absence of epidemiology data for these radiation types. Developing useful biophysical parameters or models that relate energy deposition by space particles to the probabilities of biological outcomes is a complex problem. Physical measurements of space radiation include the absorbed dose, dose equivalent, and linear energy transfer (LET) spectra. In contrast to conventional dosimetric methods, models of radiation track structure provide descriptions of energy deposition events in biomolecules, cells, or tissues, which can be used to develop biophysical models of radiation risks. In this paper, we address the biophysical description of heavy particle tracks in the context of the interpretation of both space radiation dosimetry and radiobiology data, which may provide insights into new approaches to these problems.</p>\",\"PeriodicalId\":81348,\"journal\":{\"name\":\"Gravitational and space biology bulletin : publication of the American Society for Gravitational and Space Biology\",\"volume\":\"16 2\",\"pages\":\"11-8\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Gravitational and space biology bulletin : publication of the American Society for Gravitational and Space Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gravitational and space biology bulletin : publication of the American Society for Gravitational and Space Biology","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

估计空间辐射的生物风险仍然是一个难题,因为有许多类型的辐射,包括质子、重离子和次级中子,而且缺乏这些类型辐射的流行病学数据。开发有用的生物物理参数或模型,将空间粒子的能量沉积与生物结果的概率联系起来,是一个复杂的问题。空间辐射的物理测量包括吸收剂量、剂量当量和线性能量转移(LET)光谱。与传统的剂量学方法相比,辐射轨迹结构模型提供了生物分子、细胞或组织中能量沉积事件的描述,可用于开发辐射风险的生物物理模型。在本文中,我们在空间辐射剂量学和放射生物学数据解释的背景下讨论了重粒子轨迹的生物物理描述,这可能为解决这些问题的新方法提供见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Radiation dosimetry and biophysical models of space radiation effects.

Estimating the biological risks from space radiation remains a difficult problem because of the many radiation types including protons, heavy ions, and secondary neutrons, and the absence of epidemiology data for these radiation types. Developing useful biophysical parameters or models that relate energy deposition by space particles to the probabilities of biological outcomes is a complex problem. Physical measurements of space radiation include the absorbed dose, dose equivalent, and linear energy transfer (LET) spectra. In contrast to conventional dosimetric methods, models of radiation track structure provide descriptions of energy deposition events in biomolecules, cells, or tissues, which can be used to develop biophysical models of radiation risks. In this paper, we address the biophysical description of heavy particle tracks in the context of the interpretation of both space radiation dosimetry and radiobiology data, which may provide insights into new approaches to these problems.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信