呼吸中的疾病诊断标志物及检测技术  

Exhaled Breath Markers for Disease Diagnosis and Detection Technologies

作　　者：罗静怡 孙鹏博 丁艺佩 王阳阳 谢伟东 LUO Jing-yi;SUNPeng-bo;DING Yi-pei;WANG Yang-yang;XIE Wei-dong(Key Lab in Health Science and Technology,Tsinghua Shenzhen International Graduate School,Tsinghua University,Shenzhen,Guangdong,518055,China;State Key Laboratory of Chemical Oncogenomics,Tsinghua Shenzhen International Graduate School,Tsinghua University,Shenzhen,Guangdong,518055,China;Open FIESTA Center,Tsinghua Shenzhen International Graduate School,Tsinghua University,Shenzhen,Guangdong,518055,China)

机构地区：[1]清华大学深圳国际研究生院健康科学与技术重点实验室,广东深圳518055 [2]清华大学深圳国际研究生院化学基因组学国家重点实验室,广东深圳518055 [3]清华大学深圳国际研究生院国际开放创新教育中心,广东深圳518055

出　　处：《现代生物医学进展》2021年第6期1196-1200,共5页Progress in Modern Biomedicine

基　　金：国家自然科学基金面上项目(81373460);广东省自然科学基金面上项目(2014A030313744);深圳市科技创新委自由探索项目(JCYJ20170307152357168)

摘　　要：人类呼出气体中的各种化合物能提供各种疾病和健康状况的重要信息。近年来,由于红外、电化学、化学发光等新技术的重大突破和质谱仪的使用,使得在极低浓度下精确测量呼出的挥发性有机化合物(VOCs)和气溶胶颗粒成为可能,呼吸检测领域因而取得了重大进展:,呼吸检测因其可以作为一种实时、快速和无创的方法来评估和监测各种疾病与健康状况信息,在科学研究、临床运用中引起了广泛关注。本综述主要概述呼出气体成分分析方法及在疾病诊断中的研究与应用情况,旨在为将来疾病的实时、快速和无创诊断提供一种新的策略.Various compounds in human exhaled breath can provide important information on various diseases and health conditions. Major breakthroughs in new technologies such as infrared, electrochemistry, and chemiluminescence and the use of mass spectrometers have made it possible to accurately measure exhaled volatile organic compounds(VOCs) and aerosol particles at extremely low concentrations. Significant progress has been made in the field of detection. Respiratory testing has attracted widespread attention in scientific research and clinical applications because that can be used as a real-time, fast and non-invasive method to evaluate and monitor information on various diseases and health conditions. This review mainly summarizes the analysis methods of exhaled breath and their application in disease diagnosis, and aims to provide a new strategy for the real-time, rapid and non-invasive diagnosis of diseases in the future.

关 键 词：呼吸气体分析 无创检测技术 疾病诊断 

分 类 号：Q47[生物学—生理学] R322.3[医药卫生—人体解剖和组织胚胎学]