呼气末二氧化碳检测技术研究进展

Research progress on end-tidal carbon dioxide detection technology

  • 摘要: 呼气末二氧化碳(ETCO2)作为反映肺部气体交换状态的重要生理参数,在呼吸疾病管理等医疗场景中具有重要应用价值。随着呼吸健康管理及便携式医疗设备需求的日益增长,呼吸监测正朝着连续化、无创化与便携化方向发展,ETCO2检测技术面临动态响应、高湿干扰及系统小型化等多重工程约束,对传感技术的综合性能提出了更高要求。本文从ETCO2检测的应用场景出发,系统分析了其在浓度范围、动态特性、环境干扰及工程实现等方面的关键技术约束。在此基础上,对非分光红外(NDIR)、光声光谱(PAS)、可调谐二极管激光吸收光谱(TDLAS)、固态气敏及半导体传感等CO2气体传感技术进行了对比评估。综合多参数分析表明,NDIR技术在选择性、量程、系统复杂度及工程实现可行性等方面与ETCO2检测需求具有最优的整体适配性。进一步地,本文综述了NDIR技术在ETCO2检测中的研究进展,并指出未来ETCO2检测技术可在NDIR体系下,通过器件优化、系统集成及数据驱动等方法的引入,实现高精度、低功耗与多参数融合的持续提升,为呼吸健康的连续监测与精准评估提供重要技术支撑。

     

    Abstract: End-tidal carbon dioxide (ETCO2), as an important physiological parameter reflecting the state of gas exchange in the lungs, has significant application value in medical scenarios such as respiratory disease management. With the increasing demand for respiratory health monitoring and portable medical devices, respiratory monitoring is advancing toward continuous, non-invasive, and portable approaches. ETCO2 detection technology faces multiple engineering constraints, including dynamic response, high humidity interference, and system miniaturization, which impose stringent requirements on the overall performance of sensing technologies. This paper, starting from the application scenarios of ETCO2 detection, systematically analyzes its key technical constraints in terms of concentration range, dynamic characteristics, environmental interference, and engineering implementation. Based on this analysis, a comparative evaluation is conducted of CO2 gas sensing technologies, including non-dispersive infrared (NDIR), photoacoustic spectroscopy (PAS), tunable diode laser absorption spectroscopy (TDLAS), solid-state gas sensing, and semiconductor sensing2. Through comprehensive multi-parameter analysis, NDIR technology demonstrates optimal overall suitability for ETCO2 detection requirements in terms of selectivity, measurement range, system complexity, and engineering feasibility. Furthermore, this paper reviews the research progress of NDIR technology in ETCO2 detection and concludes that future advancements in ETCO2 detection can achieve continuous improvements in high precision, low power consumption, and multi-parameter fusion within NDIR-based systems through device optimization, system integration, and data-driven approaches, thereby providing critical technical support for continuous monitoring and accurate assessment of respiratory health.

     

/

返回文章
返回