The invention discloses an expiration detection and health early warning technology based on online high-sensitivity
mass spectrometry, and relates to the field of expiration detection and
machine learning model
algorithm application based on the online high-sensitivity
mass spectrometry technology, and the technology comprises an expiration device, a flow velocity sensor, a cavity enhanced
carbon dioxide monitor, a three-way high-speed
electromagnetic valve and a constant-pressure
dichloromethane generator, the device comprises a micro-pore
electromagnetic valve, a
mass spectrum sample inlet, an on-line high-sensitivity
mass spectrum, a
dichloromethane tail gas absorption
bottle and an intelligent diagnosis
system, wherein the cavity enhanced
carbon dioxide monitor is used for realizing accurate judgment and sample introduction of alveolar gas; according to the online high-sensitivity
mass spectrum, a VUV
light source is adopted, and a gas sample obtained after
dichloromethane and exhaled gas of a subject are mixed is ionized in an association
ionization area; according to the method, the problems of limited sensitivity and coverage range in the prior art are solved, the variety and concentration of the volatile organic compounds in the exhaled gas of the
human body are identified through an innovative association
ionization mass spectrometry technology, and
health condition analysis of a subject is realized by means of an intelligent diagnosis
system provided with an interpretable
machine learning model. Besides, the technology has the functions of detection of volatile organic compounds in
expired gas of a
human body and intelligent diagnosis and early warning of
human health, can reflect the
human health condition through a non-invasive means, and has important application prospects in the aspects of precise
medical treatment of serious diseases and early screening of susceptible people.