Cancer detection system based on micro gas chromatography

Abstract

The invention provides a cancer detection method and a cancer detection system based on micro gas chromatography, which can realize non-interference and high-sensitivity detection of all gas molecules in breathing gas aiming at the demand of diagnosing major diseases by the breathing gas, and high detection precision. A micro gas chromatography and a high-sensitivity broad-spectrum sensor are integrated, the diagnostic instrument is a high-integration portable diagnostic instrument for detecting diseases through breathing gas, only breathing gas of a patient is needed, and non-invasive detection is achieved; according to the method, the sample injection valve is combined with the two chromatographic columns, the capacity of treating complex samples can be improved (the separable components are more in variety and wider in range), the micro chromatographic column method is adopted for developing cancer detection, and the method can accurately detect the accurate content of each component of the respiratory gas, the technical bottleneck of weak anti-interference capability of the sensor is solved, the portability of the detector can be improved, and the field detection requirement is met.

Description

technical field [0001] The invention relates to the technical field of medical devices, in particular to a cancer detection system based on micro-gas chromatography. Background technique [0002] Ancient Greek doctors already knew that the smell of human breath can be used to diagnose diseases. The breath smell of diabetics contains acetone, which has a foul smell, and the breath smell of urine indicates that there is something wrong with the kidneys. The breath of patients with lung abscess has a sewer smell, which is due to the growth of anaerobic bacteria. The exhaled breath of patients with liver disease has the smell of rotten fish and shrimp. Because these molecules are derived from endogenous and exogenous substances, detailed analysis of the composition of these substances can provide characteristics of various physiological processes occurring in vivo (ie, respiratory spectrum), as well as the route of uptake and absorption of substances. If the obtained and analy...

AI Technical Summary

Problems solved by technology

[0004] In order to improve portability and universality, most of the world currently adopts the method of integrating high-sensitivity sensors to realize the detection of respiratory gas, but this multi-sensor integration method, because the sensors do not have high selectivity, the mutual interference of gas components It is its biggest technical bottleneck, resulting in poor accuracy of detection results

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