• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种用于挥发性有机化合物呼吸气体分析的数学模型,特别侧重于丙酮。

A mathematical model for breath gas analysis of volatile organic compounds with special emphasis on acetone.

作者信息

King Julian, Unterkofler Karl, Teschl Gerald, Teschl Susanne, Koc Helin, Hinterhuber Hartmann, Amann Anton

机构信息

Breath Research Institute, Austrian Academy of Sciences, Dornbirn.

出版信息

J Math Biol. 2011 Nov;63(5):959-99. doi: 10.1007/s00285-010-0398-9. Epub 2011 Jan 14.

DOI:10.1007/s00285-010-0398-9
PMID:21234569
Abstract

Recommended standardized procedures for determining exhaled lower respiratory nitric oxide and nasal nitric oxide (NO) have been developed by task forces of the European Respiratory Society and the American Thoracic Society. These recommendations have paved the way for the measurement of nitric oxide to become a diagnostic tool for specific clinical applications. It would be desirable to develop similar guidelines for the sampling of other trace gases in exhaled breath, especially volatile organic compounds (VOCs) which may reflect ongoing metabolism. The concentrations of water-soluble, blood-borne substances in exhaled breath are influenced by: (i) breathing patterns affecting gas exchange in the conducting airways, (ii) the concentrations in the tracheo-bronchial lining fluid, (iii) the alveolar and systemic concentrations of the compound. The classical Farhi equation takes only the alveolar concentrations into account. Real-time measurements of acetone in end-tidal breath under an ergometer challenge show characteristics which cannot be explained within the Farhi setting. Here we develop a compartment model that reliably captures these profiles and is capable of relating breath to the systemic concentrations of acetone. By comparison with experimental data it is inferred that the major part of variability in breath acetone concentrations (e.g., in response to moderate exercise or altered breathing patterns) can be attributed to airway gas exchange, with minimal changes of the underlying blood and tissue concentrations. Moreover, the model illuminates the discrepancies between observed and theoretically predicted blood-breath ratios of acetone during resting conditions, i.e., in steady state. Particularly, the current formulation includes the classical Farhi and the Scheid series inhomogeneity model as special limiting cases and thus is expected to have general relevance for a wider range of blood-borne inert gases. The chief intention of the present modeling study is to provide mechanistic relationships for further investigating the exhalation kinetics of acetone and other water-soluble species. This quantitative approach is a first step towards new guidelines for breath gas analyses of volatile organic compounds, similar to those for nitric oxide.

摘要

欧洲呼吸学会和美国胸科学会的特别工作组已制定出用于测定呼出气体中一氧化氮和鼻腔一氧化氮(NO)的推荐标准化程序。这些建议为一氧化氮测量成为特定临床应用的诊断工具铺平了道路。制定关于呼出气体中其他痕量气体采样的类似指南将是可取的,特别是可能反映正在进行的新陈代谢的挥发性有机化合物(VOCs)。呼出气体中水溶性血源物质的浓度受以下因素影响:(i)影响传导气道气体交换的呼吸模式,(ii)气管 - 支气管内衬液中的浓度,(iii)化合物的肺泡浓度和全身浓度。经典的法尔希方程仅考虑肺泡浓度。在测力计挑战下对潮气末呼吸中丙酮的实时测量显示出在法尔希设定内无法解释的特征。在这里,我们开发了一个隔室模型,该模型可靠地捕捉这些特征,并能够将呼吸与丙酮的全身浓度联系起来。通过与实验数据比较,可以推断出呼吸丙酮浓度变化的主要部分(例如,对适度运动或改变的呼吸模式的反应)可归因于气道气体交换,而基础血液和组织浓度的变化最小。此外,该模型阐明了在静息状态下,即稳态时,观察到的和理论预测的丙酮血 - 呼吸比之间的差异。特别是,当前的公式包括经典的法尔希模型和谢德系列非均匀性模型作为特殊的极限情况,因此预计对更广泛的血源惰性气体具有普遍相关性。本建模研究的主要目的是提供机制关系,以进一步研究丙酮和其他水溶性物质的呼出动力学。这种定量方法是朝着制定类似于一氧化氮的挥发性有机化合物呼气气体分析新指南迈出的第一步。

相似文献

1
A mathematical model for breath gas analysis of volatile organic compounds with special emphasis on acetone.一种用于挥发性有机化合物呼吸气体分析的数学模型,特别侧重于丙酮。
J Math Biol. 2011 Nov;63(5):959-99. doi: 10.1007/s00285-010-0398-9. Epub 2011 Jan 14.
2
A modeling-based evaluation of isothermal rebreathing for breath gas analyses of highly soluble volatile organic compounds.基于模型的评价:等温重呼吸法在高水溶性挥发性有机化合物呼出气分析中的应用。
J Breath Res. 2012 Mar;6(1):016005. doi: 10.1088/1752-7155/6/1/016005. Epub 2012 Jan 10.
3
Effect of inhaled acetone concentrations on exhaled breath acetone concentrations at rest and during exercise.吸入丙酮浓度对静息和运动时呼气丙酮浓度的影响。
J Breath Res. 2020 Mar 4;14(2):026010. doi: 10.1088/1752-7163/ab613a.
4
Experimental setup and analytical methods for the non-invasive determination of volatile organic compounds, formaldehyde and NOx in exhaled human breath.用于非侵入式测定人体呼气中挥发性有机化合物、甲醛和 NOx 的实验装置和分析方法。
Anal Chim Acta. 2010 Jun 11;669(1-2):53-62. doi: 10.1016/j.aca.2010.04.049. Epub 2010 May 18.
5
Modeling-based determination of physiological parameters of systemic VOCs by breath gas analysis, part 2.基于模型的呼吸气体分析系统 VOCs 生理参数的测定,第 2 部分。
J Breath Res. 2018 Apr 4;12(3):036011. doi: 10.1088/1752-7163/aab2b6.
6
Physiological modeling of isoprene dynamics in exhaled breath.呼出气中异戊二烯动力学的生理建模。
J Theor Biol. 2010 Dec 21;267(4):626-37. doi: 10.1016/j.jtbi.2010.09.028. Epub 2010 Sep 29.
7
Sensors for Enhanced Detection of Acetone as a Potential Tool for Noninvasive Diabetes Monitoring.用于增强丙酮检测的传感器:作为非侵入性糖尿病监测的潜在工具。
Sensors (Basel). 2018 Jul 16;18(7):2298. doi: 10.3390/s18072298.
8
The human volatilome: volatile organic compounds (VOCs) in exhaled breath, skin emanations, urine, feces and saliva.人体挥发物组:呼出气、皮肤散发物、尿液、粪便和唾液中的挥发性有机化合物(VOCs)
J Breath Res. 2014 Sep;8(3):034001. doi: 10.1088/1752-7155/8/3/034001. Epub 2014 Jun 19.
9
Oral or nasal breathing? Real-time effects of switching sampling route onto exhaled VOC concentrations.经口呼吸还是经鼻呼吸?切换采样途径对呼出挥发性有机化合物浓度的实时影响。
J Breath Res. 2017 Mar 21;11(2):027101. doi: 10.1088/1752-7163/aa6368.
10
Analysis of ketone bodies in exhaled breath and blood of ten healthy Japanese at OGTT using a portable gas chromatograph.使用便携式气相色谱仪对10名健康日本受试者进行口服葡萄糖耐量试验(OGTT)时呼出气和血液中的酮体进行分析。
J Breath Res. 2014 Nov 24;8(4):046008. doi: 10.1088/1752-7155/8/4/046008.

引用本文的文献

1
A Review of Machine Learning-Assisted Gas Sensor Arrays in Medical Diagnosis.机器学习辅助气体传感器阵列在医学诊断中的综述
Biosensors (Basel). 2025 Aug 20;15(8):548. doi: 10.3390/bios15080548.
2
Research progress of electronic nose technology in exhaled breath disease analysis.电子鼻技术在呼出气疾病分析中的研究进展
Microsyst Nanoeng. 2023 Oct 11;9:129. doi: 10.1038/s41378-023-00594-0. eCollection 2023.
3
Dynamic Modeling of Carbon Dioxide Transport through the Skin Using a Capnometry Wristband.利用二氧化碳测量腕带对二氧化碳经皮传输进行动态建模。

本文引用的文献

1
A modeling-based evaluation of isothermal rebreathing for breath gas analyses of highly soluble volatile organic compounds.基于模型的评价:等温重呼吸法在高水溶性挥发性有机化合物呼出气分析中的应用。
J Breath Res. 2012 Mar;6(1):016005. doi: 10.1088/1752-7155/6/1/016005. Epub 2012 Jan 10.
2
Buffered end-tidal (BET) sampling-a novel method for real-time breath-gas analysis.缓冲呼气末(BET)采样-一种实时呼气质谱分析的新方法。
J Breath Res. 2008 Sep;2(3):037008. doi: 10.1088/1752-7155/2/3/037008. Epub 2008 Sep 8.
3
Isoprene and acetone concentration profiles during exercise on an ergometer.
Sensors (Basel). 2023 Jul 2;23(13):6096. doi: 10.3390/s23136096.
4
Smelling the Disease: Diagnostic Potential of Breath Analysis.嗅探疾病:呼吸分析的诊断潜力。
Mol Diagn Ther. 2023 May;27(3):321-347. doi: 10.1007/s40291-023-00640-7. Epub 2023 Feb 2.
5
Modelling of Breath and Various Blood Volatilomic Profiles-Implications for Breath Volatile Analysis.呼吸与各种血液挥发组学特征的建模——对呼吸挥发性分析的启示。
Molecules. 2022 Apr 7;27(8):2381. doi: 10.3390/molecules27082381.
6
Assessing the feasibility and acceptability of online measurements of exhaled volatile organic compounds (VOCs) in children with preschool wheeze: a pilot study.评估学龄前喘息儿童呼出气挥发性有机化合物(VOCs)在线测量的可行性和可接受性:一项初步研究。
BMJ Paediatr Open. 2021 Sep 8;5(1):e001003. doi: 10.1136/bmjpo-2020-001003. eCollection 2021.
7
Volatile Organic Compounds in Human Exhaled Breath to Diagnose Gastrointestinal Cancer: A Meta-Analysis.呼出气体中的挥发性有机化合物用于诊断胃肠道癌症:一项荟萃分析。
Front Oncol. 2021 Feb 26;11:606915. doi: 10.3389/fonc.2021.606915. eCollection 2021.
8
Inhalation of molecular hydrogen increases breath acetone excretion during submaximal exercise: a randomized, single-blinded, placebo-controlled study.次最大强度运动期间吸入分子氢可增加呼气丙酮排泄:一项随机、单盲、安慰剂对照研究。
Med Gas Res. 2020 Jul-Sep;10(3):96-102. doi: 10.4103/2045-9912.296038.
9
Highly Sensitive Room-Temperature Sensor Based on Nanostructured K₂W₇O for Application in the Non-Invasive Diagnosis of Diabetes.基于 K₂W₇O 纳米结构的高灵敏度室温传感器,用于非侵入性糖尿病诊断。
Sensors (Basel). 2018 Oct 31;18(11):3703. doi: 10.3390/s18113703.
10
Modeling Pulmonary Gas Exchange and Single-Exhalation Profiles of Carbon Monoxide.模拟肺气体交换和一氧化碳单次呼气曲线
Front Physiol. 2018 Jul 30;9:927. doi: 10.3389/fphys.2018.00927. eCollection 2018.
在测力计上运动时的异戊二烯和丙酮浓度曲线。
J Breath Res. 2009 Jun;3(2):027006. doi: 10.1088/1752-7155/3/2/027006. Epub 2009 Jun 9.
4
Endogenous volatile organic compounds in breath and blood of healthy volunteers: examining breath analysis as a surrogate for blood measurements.健康志愿者呼出气和血液中的内源性挥发性有机化合物:探讨呼出气分析作为血液测量的替代物。
J Breath Res. 2009 Jun;3(2):027005. doi: 10.1088/1752-7155/3/2/027005. Epub 2009 Jun 9.
5
Breath acetone-aspects of normal physiology related to age and gender as determined in a PTR-MS study.呼出气丙酮:与年龄和性别相关的正常生理学方面,通过 PTR-MS 研究确定。
J Breath Res. 2009 Jun;3(2):027003. doi: 10.1088/1752-7155/3/2/027003. Epub 2009 May 15.
6
Determining concentration patterns of volatile compounds in exhaled breath by PTR-MS.通过 PTR-MS 测定呼气中挥发性化合物的浓度分布。
J Breath Res. 2009 Jun;3(2):027002. doi: 10.1088/1752-7155/3/2/027002. Epub 2009 May 15.
7
Physiological modeling of isoprene dynamics in exhaled breath.呼出气中异戊二烯动力学的生理建模。
J Theor Biol. 2010 Dec 21;267(4):626-37. doi: 10.1016/j.jtbi.2010.09.028. Epub 2010 Sep 29.
8
Dynamic profiles of volatile organic compounds in exhaled breath as determined by a coupled PTR-MS/GC-MS study.呼出气中挥发性有机化合物的耦合 PTR-MS/GC-MS 研究的动态特征。
Physiol Meas. 2010 Sep;31(9):1169-84. doi: 10.1088/0967-3334/31/9/008. Epub 2010 Jul 28.
9
Bayesian population analysis of a washin-washout physiologically based pharmacokinetic model for acetone.基于贝叶斯群体分析的丙酮洗入-洗出生理药代动力学模型
Toxicol Appl Pharmacol. 2009 Nov 1;240(3):423-32. doi: 10.1016/j.taap.2009.07.033. Epub 2009 Aug 4.
10
Exercise-related change in airway blood flow in humans: relationship to changes in cardiac output and ventilation.人体运动相关的气道血流变化:与心输出量和通气变化的关系。
Respir Physiol Neurobiol. 2008 Aug 31;162(3):204-9. doi: 10.1016/j.resp.2008.06.020. Epub 2008 Jul 5.