Institute of Advanced Data Transfer Systems, ITMO University, Birzhevaya Liniya 14, 199034 Saint Petersburg, Russia.
Biosensors (Basel). 2023 Jun 2;13(6):609. doi: 10.3390/bios13060609.
The urea breath test is a non-invasive diagnostic method for infections, which relies on the change in the proportion of CO in exhaled air. Nondispersive infrared sensors are commonly used for the urea breath test in laboratory equipment, but Raman spectroscopy demonstrated potential for more accurate measurements. The accuracy of the detection via the urea breath test using CO as a biomarker is affected by measurement errors, including equipment error and δC measurement uncertainty. We present a Raman scattering-based gas analyzer capable of δC measurements in exhaled air. The technical details of the various measurement conditions have been discussed. Standard gas samples were measured. CO and CO calibration coefficients were determined. The Raman spectrum of the exhaled air was measured and the δC change (in the process of the urea breath test) was calculated. The total error measured was 6% and does not exceed the limit of 10% that was analytically calculated.
尿素呼气试验是一种非侵入性诊断 感染的方法，它依赖于呼气中 CO 比例的变化。非分散式红外线传感器常用于实验室设备中的尿素呼气试验，但拉曼光谱显示出更准确测量的潜力。以 CO 作为生物标志物的尿素呼气试验的 检测准确性受到测量误差的影响，包括设备误差和 δC 测量不确定性。我们提出了一种基于拉曼散射的气体分析仪，能够测量呼气中的 δC。讨论了各种测量条件的技术细节。测量了标准气体样品，确定了 CO 和 CO 校准系数。测量了呼出空气的拉曼光谱，并计算了 δC 的变化（在尿素呼气试验过程中）。测量的总误差为 6%，不超过分析计算的 10%的限制。
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