Breath analyzer based on dual-wavelength background gas subtraction method

Abstract

The invention discloses a breath analyzer based on a dual-wavelength background gas subtraction method. The breath analyzer includes a gas sample chamber, pillars, a mounting plate, reflective mirrorsand adjustment devices. The bottom of the gas sample chamber is fixed to the mounting plate through the pillars. The two ends of the inside of the gas sample chamber is symmetrically provided with the two reflective mirrors. The two reflective mirrors are fixed to the gas sample chamber through the adjustment devices. The adjustment devices include mounting blocks, spherical gaskets, corrugated gaskets, support members, annular baffle plates, sealing cylinders, O-shaped rings, driving parts and connecting parts. The mounting blocks are located on the inner side of the gas sample chamber. Thediameter of the mounting blocks is smaller than the internal diameter of the gas sample chamber. The middle parts of the mounting blocks are provided with through holes. The angles of the reflective mirrors can be rapidly adjusted through the adjustment devices, which changes a conventional adjustment mode and improves the detection efficiency of breath gas.

Description

technical field [0001] The invention relates to the field of biomedical technology, in particular to a breath analyzer based on a dual-wavelength background gas subtraction method. Background technique [0002] CRDS technology has the characteristics of high sensitivity and fast response, and the research on CRDS at home and abroad is also relatively extensive. In 2014, Robert J. Wild of the University of Colorado used CRDS technology to detect reactive nitrogen molecules in the air, including NO and NO 2 , NO 2 The center wavelength is selected as 405nm, and the detection of NO is by oxidizing NO to NO 2 The detection limit of the system under 1s response time is less than 30ppt, and the measurement error is less than 5%. However, the water vapor in the sample gas is easy to cause the degradation of the high reflection mirror. Marc Goulette of the University of Cork and others conducted an airborne CRDS experiment in 2016, and the detected components include NO in the tr...

AI Technical Summary

Problems solved by technology

At present, relatively mature CRDS instruments abroad can measure a wide variety of components, including greenhouse gases, NO X , CO 2 Isotopes, N 2 O isotopes, CH 4 Isotopes, etc., are all used in air transport detection, atmospheric contour measurement, isotope detection in natural food and gas flux detection, etc., but have not been applied to the detection of respiratory markers in patients with lung cancer

[0003] At present, the artificial intelligence breath smell olfactory system for early diagnosis of lung cancer can be used to diagnose lung cancer in one breath. It can quickly diagnose lung cancer by collecting the breath spectrum of the patient in one breath. However, the adjustment of the optical path of the system is complicated. Adjust the output angle of the reflector. In this way, when adjusting the angle of the reflector, it is necessary to turn the three fine-tuning screws respectively, and the high-reflection window is easily polluted during adjustment.

Moreover, the system has high requirements on the constant temperature and vacuum of the ring-down cavity, and the deformation of the mechanical structure caused by long-term environmental changes will also cause the decline of system performance.

Images