Ambient mass spectrometry for fast identification of lung cancer

XU Jian-jun; CHEN Li-ru; WEI Yi-ping; ZHU Teng-gao; CHEN Huan-wen; OUYANG Yong-zhong; WEN Hua; ZHAO Zong-sheng

Abstract：Objective To investigate the effect and application of ambient mass spectrometry ( AMS) for fast identification of lung cancer .Methods Intraoperatively collected tissue samples and adjacent normal lung tissues from 15 lung cancer patients were analyzed by home -made solvent-assisted tip electrospray ionization mass spectrometry without any pretreatment .Flow rate of solvent ( methanol ) was 4 μL/min with ion source mode was set as follows: positive ion mode, mass range of m/z 750~850 Da, of 150℃ion transmission tube temperature, 3.5 kV spray voltage, 65.0 V lens voltage as.Data of the spectra was analyzed using matlab software .Student′s t test was performed.Principal component a-nalysis ( PCA) was used as a data processing method for the fingerprinting spectra .Results Significant difference was observed in fingerprint spectra at 756.7, 772.6, 780.7, 808.7, 824.7 and 832.7 m/z between cancerous tissue and nor-mal tissue (P<0.01).Pattern recognitions at the fingerprint spectrum level for clustering analysis of tissue samples were achieved successfully with lung cancer separated from normal tissues .Conclusion Coupling with PCA analysis , the can-cerous tissue samples of NSCLC can be identified effectively from the adjacent normal tissue by AMS , suggesting potential application in fast diagnosis of lung cancer .