Method and system for separating and detecting VOCs (Volatile Organic Chemicals) gas in human respiratory signs and application

Abstract

The invention discloses a method and a system for separating and detecting VOCs (Volatile Organic Chemicals) gas of a human respiration mark and application. The method comprises the processes of carrier gas purging, gas sampling, sample injection separation, gas detection and test cleaning. A carrier gas bottle, a micro chromatographic column, a sensor, a sample bag, a quantitative ring, a diaphragm pump and a single chip microcomputer are respectively communicated through a six-way valve to form a carrier gas purging passage, a collection passage, a sample injection separation passage and a test cleaning passage, sample gas is collected through a sample injection unit, a sample is transported through a gas flow path unit, and the sample is mixed and separated through a separation unit; the sensing unit detects the single gas separated by the chromatographic column; the obtained chromatographic peak spectrogram is subjected to feature extraction, recognition of corresponding VOCs marker gas in human respiration and primary disease screening can be achieved within 15 min, and the accuracy of the detection error is within 10%.

Description

technical field [0001] The invention relates to the field of breath detection of human chronic diseases, in particular to an analysis device, detection method, system and application of human breath VOCs-related disease marker gases. Background technique [0002] In recent years, human chronic diseases have become a major health problem worldwide, and it appears that chronic diseases will recur more frequently and become more prevalent in the next decade. Early identification of various chronic diseases not only facilitates the treatment of patients, but also prevents the spread among the population. Therefore, an effective dynamic diagnostic method is needed to prevent and control chronic diseases. With the improvement of living standards, people pay more and more attention to the early diagnosis and monitoring of major diseases. As a non-destructive testing method, respiratory gas composition analysis has obvious advantages. It is not only safe and painless, low cost, si...

AI Technical Summary

Problems solved by technology

However, the application of GC-MS to a broad population has many limitations due to its expensive and cumbersome equipment, time-consuming analysis, and the need for specialized handling

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