肺癌呼吸标记物光腔衰荡光谱特性研究

Study on Spectral Characteristics of Cavity Ringdown Spectroscopy for Biomarkers of Lung Cancer

呼吸分析技术正在成为一种日益重要的无创疾病诊断方法,可用于评估人体健康状况和疾病类型。人体呼吸气体中含有3000多种VOCs,浓度低,气体成分复杂,除了稳定的分子还有自由基。分析某一个呼吸气体成份的绝对浓度对测量技术的灵敏度、选择性以及时间响应都具有很高的要求。基于本课题组前期对肺癌患者和非肺癌患者组进行呼吸气味特异性分子的智能筛选基础上,本文针对肺癌早期病变诱导的一种呼气分子标记物异戊二烯(Isoprene),研究了快速、准确、高效的光腔衰荡光谱技术(cavity ring down spectroscopy,CRDS)技术,对其进行定量测量的方法,为开发基于超灵敏实时在线的CRDS技术的肺癌早期诊断的便携式、操作简单、一体化、自动化的新型呼气分子诊断传感器奠定基础。

Breath analysis is becoming an increasingly important non-invasive diagnostic method that can be used to evaluate health status and disease types.There are more than 3000 VOCs in the breath gas of human body.The concentration of VOCs is low and the composition of the gas is complex.Besides the stable molecules,there are also free radicals.The analysis of the absolute concentration of a certain respiratory gas component has high requirements for the sensitivity,selectivity and time response of the measurement technology.Based on the intelligent screening of specific breath components between lung cancer patients and non-lung cancer volunteers,a rapid,accurate and efficient cavity ringdown spectroscopy(CRDS)technique was developed to measure one breath biomarker,Isoprene induced by lung cancer quantitatively,in order to develop a new portable,easy-to-operate,integrated and automated breath analyzer for early diagnosis of lung cancer.