FENO detection system based on broadband light source cavity enhanced absorption spectroscopy

An absorption spectrum and detection system technology, applied in the field of FENO detection system, can solve the problems affecting the specificity of NO, unable to respond to the breath concentration on-line in real time, and achieve high sensitivity, avoid interference from other substances, and avoid sample contamination.

Inactive Publication Date: 2014-11-12
ZHEJIANG NORMAL UNIVERSITY
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Problems solved by technology

The current detection method of exhaled nitric oxide is mainly electrochemical method, using NO and O 3 or H 2 o 2 The reaction produces chemiluminescence, and the NO concentration is judged by the luminous intensity. It is an indi

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  • FENO detection system based on broadband light source cavity enhanced absorption spectroscopy

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[0017] Referring to the accompanying drawings, it is a specific embodiment of a FENO detection system based on broadband light source cavity-enhanced absorption spectroscopy of the present invention. A FENO detection system based on broadband light source cavity enhanced absorption spectrum, including: LED light source driver 1, LED light emitting diode 2, optical fibers 3, 14, collimator lenses 4, 13, convex lenses 5, 11, optical filter 6, concave spherical surface An optical resonant cavity composed of high reflection mirrors 7 and 11, an air inlet 10, air washing and exhaust outlets 8 and 9, a spectrum analyzer 15, a data acquisition and processing system 16 and a display 17. As shown in the accompanying drawings, the present invention first passes a sufficient amount of nitrogen into the gas washing and exhaust ports 8 and 9 to clean the optical resonant cavity. The light-emitting diode 2 is used as the light source, driven by the LED light source 1 to drive the LED light-...

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Abstract

The invention discloses an FENO detection system based on broadband light source cavity enhanced absorption spectroscopy, which belongs to the field of medical apparatuses and instruments. Specifically speaking, the FENO detection system is a nitric oxide detection system employing combination of an LED broadband light source and cavity enhanced absorption spectroscopy. The system mainly comprises a light source part, an FENO concentration detection part and an NO absorption signal analysis part, wherein an LED light emitting diode is used as a light source, the FENO concentration detection part comprises an optical resonant cavity composed of two collimating lenses, two convex lenses and two concave spherical surface high reflectivity mirrors, an air inlet, two air washing and exhausting ports, etc., and the NO absorption signal analysis part is composed of a spectrometer, a data acquisition and processing system and a display. The FENO detection system has the following advantages: through usage of combined and broadband light source cavity enhanced absorption spectroscopy, detection sensitivity is effectively improved, real-time detection is realized, a detection limit reaches ppm magnitude, good specificity is obtained, no pollution is produced, and application demands of medical detection are effectively met.

Description

technical field [0001] The invention relates to a FENO detection system based on broadband light source cavity-enhanced absorption spectrum, specifically a kind of LED light-emitting diode as light source, combined with cavity-enhanced absorption spectrum technology to measure the concentration of nitric oxide gas exhaled by people (that is, fractional concentration of exhaled Nitri oxide FENO) is a system for real-time online detection, which belongs to the field of medical equipment. Background technique [0002] With the rapid development of today's society and serious air and environmental pollution, respiratory diseases have become increasingly younger and fatal, and various chronic diseases caused by respiratory infections are constantly changing, and traditional technologies are no longer enough to completely In response to the diagnosis and treatment of modern diseases, as a common respiratory disease, airway inflammation is very common in clinical practice, usually ...

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Application Information

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IPC IPC(8): G01N21/31
Inventor 邵杰韩叶星郭杰王理明郑倩瑛
Owner ZHEJIANG NORMAL UNIVERSITY
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