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基于中空波导的中红外气体传感器实时测量呼出气中 CO 同位素比。

Real-time measurement of CO isotopologue ratios in exhaled breath by a hollow waveguide based mid-infrared gas sensor.

出版信息

Opt Express. 2020 Apr 13;28(8):10970-10980. doi: 10.1364/OE.385103.

Abstract

A hollow waveguide (HWG) based mid-infrared gas sensor using a 2.73 µm distributed feedback (DFB) laser was developed for simultaneously measuring the concentration changes of the three isotopologues CO, CO, and OCO in exhaled breath by direct absorption spectroscopy, and then determining the CO/CO isotope ratio (δC) and OCO/CO isotope ratio (δO). The HWG sensor showed a fast response time of 3 s. Continuous measurement of δC and δO in the standard CO sample with known isotopic ratios for ∼2 h was performed. Precisions of 2.20‰ and 1.98‰ for δC and δO respectively at optimal integration time of 734 s were estimated from Allan variance analysis. Accuracy of -0.49‰ and -1.20‰ for δC and δO, respectively, were obtained with comparison to the values of the reference standard. The Kalman filtering method was employed to improve the precision and accuracy of the HWG sensor while maintaining high time resolution. Precision of 5.45‰ and 4.88‰ and the accuracy of 0.21‰ and -1.13‰ for δC and δO, respectively, were obtained at the integration time of 0.54 s with the application of Kalman filtering. The concentrations of CO, CO and OCO in breath cycles were measured and processed by Kalman filtering in real time. The measured values of δO and δC in exhaled breath were estimated to be -21.35‰ and -33.64‰, respectively, with the integration time of 1 s. This study demonstrates the ability of the HWG sensor to obtain δC and δO values in breath samples and its potential for immediate respiratory monitoring and disease diagnosis.

摘要

一种基于中空波导(HWG)的中红外气体传感器,使用 2.73 µm 分布式反馈(DFB)激光器,通过直接吸收光谱法同时测量呼出气体中三种同位素 CO、CO 和 OCO 的浓度变化,然后确定 CO/CO 同位素比(δC)和 OCO/CO 同位素比(δO)。HWG 传感器具有快速的响应时间,为 3 s。在已知同位素比的标准 CO 样品中,连续测量 δC 和 δO 约 2 h。通过 Allan 方差分析,在最优积分时间 734 s 下,δC 和 δO 的精度分别估计为 2.20‰和 1.98‰。与参考标准值相比,δC 和 δO 的准确度分别为-0.49‰和-1.20‰。卡尔曼滤波法被用来提高 HWG 传感器的精度和准确度,同时保持高时间分辨率。应用卡尔曼滤波后,在积分时间为 0.54 s 时,δC 和 δO 的精度分别为 5.45‰和 4.88‰,准确度分别为 0.21‰和-1.13‰。通过卡尔曼滤波实时测量和处理呼吸循环中的 CO、CO 和 OCO 浓度。在积分时间为 1 s 时,呼出气体中 δO 和 δC 的测量值分别估计为-21.35‰和-33.64‰。本研究证明了 HWG 传感器在获取呼吸样本中 δC 和 δO 值方面的能力,以及其在即时呼吸监测和疾病诊断方面的潜力。

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