Tzeng, T.-H.T.-H.TzengKuo, C.-Y.C.-Y.KuoWang, S.-Y.S.-Y.WangHuang, P.-K.P.-K.HuangKuo, P.-H.P.-H.KuoHuang, Y.-M.Y.-M.HuangHsieh, W.-C.W.-C.HsiehYu, S.-A.S.-A.YuYUFENG JANE TSENGWEI-CHENG TIANSI-CHEN LEESHEY-SHI LU2020-06-112020-06-112015https://scholars.lib.ntu.edu.tw/handle/123456789/497755Existing non-invasive lung cancer diagnostic equipment has difficulty in detecting early stage lung cancer as abnormal tissue is smaller than 0.5cm in size. According to studies showing that volatile organic compounds (VOCs) from human breath gas can provide biomarkers for human disease, especially for lung cancer [1], a non-invasive method was developed to measure the exhaled air from cancer patients using chromatography-mass spectrometry (GC-MS). However, traditional GC-MS equipment is very expensive and requires specialists to operate. In this research we demonstrate a portable micro gas chromatography (μGC) system to overcome the limitations of conventional methods and realize small chips for big data. ? 2015 IEEE.[SDGs]SDG3Biological organs; Biomarkers; Diagnosis; Diseases; Mass spectrometry; Noninvasive medical procedures; Volatile organic compounds; Abnormal tissues; Cancer patients; Chromatography-mass spectrometry; Conventional methods; Early-stage lung cancers; Micro-gas chromatography; Noninvasive methods; Volatile compounds; Gas chromatographyconference paper10.1109/ISSCC.2015.70630892-s2.0-84940731993https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940731993&doi=10.1109%2fISSCC.2015.7063089&partnerID=40&md5=edf027fc422c4322b0c90ff7669ba076