计算机科学
临床实习
气体分析呼吸
钥匙(锁)
系统工程
风险分析(工程)
灵敏度(控制系统)
数据科学
纳米技术
生化工程
医学
工程类
计算机安全
电子工程
材料科学
解剖
家庭医学
作者
Andreas T. Güntner,Sebastian Abegg,Karsten Königstein,Philipp A. Gerber,Arno Schmidt‐Trucksäss,Sotiris E. Pratsinis
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2019-01-09
卷期号:4 (2): 268-280
被引量:313
标识
DOI:10.1021/acssensors.8b00937
摘要
Breath sensors can revolutionize medical diagnostics by on-demand detection and monitoring of health parameters in a noninvasive and personalized fashion. Despite extensive research for more than two decades, however, only a few breath sensors have been translated into clinical practice. Actually, most never even left the scientific laboratories. Here, we describe key challenges that currently impede realization of breath sensors and highlight strategies to overcome them. Specifically, we start with breath marker selection (with emphasis on metabolic and inflammatory markers) and breath sampling. Next, the sensitivity, stability, and selectivity requirements for breath sensors are described. Concepts are elaborated to systematically address these requirements by material design (focusing on chemoresistive metal oxides), orthogonal arrays, and filters. Finally, aspects of portable device integration, user communication, and clinical applicability are discussed.
科研通智能强力驱动
Strongly Powered by AbleSci AI