The technique of non-invasive diagnosis has been one of the research focuses in the field of biomedical engineering for a long time. The diagnosis of lung cancer by detecting the volatile organic compounds (VOCs) in the exhaled breath is quite promising.This work is based on the research of the method to detect the VOCs in the breath of lung cancer patients, and the detection of VOCs in the metabolism of lung cancer cells, to finally support the research of the detection of lung cancer by electronic nose (E-nose). There are mainly four parts in this thesis:Firstly, some studies of lung cancer breath detection around the world are introduced and the comparison of routine lung cancer diagnosis method and e-nose breath detection method is made. Pathology analysis of the existence of special VOCs in lung cancer patients' breath and in lung cancer cells' metabolic product is introduced.Secondly, the solid phase microextraction-gas chromatography-mass spectrum (SPME-GC-MS) system is used to detect special VOCs in the metabolism of lung cancer cells. By comparing the different VOCs in the metabolism of different kinds of cells, 3 kinds of VOCs can be viewed as the biomarkers of lung cancer cells.Thirdly, detection and comparison of the VOCs in lung cancer patients' breath, in normal human's breath and in chronic bronchitis patients' breath are done with the SPME-GC-MS system. Analysis of special VOCs in lung cancer cells and breath of lung cancer cells can help confirm the marker VOCs in breath of lung cancer patients.At last, method of Tenax TA adsorption-thermal desorption is tested on GC system. And it turns out that the kind of pre-enrichment can be useful in the E-nose system designed in our research group. |