Chen Huanwen, Pan Zhengzheng, Talaty Nari, Raftery Daniel, Cooks R Graham
Department of Chemistry, Purdue University, West Lafayette, IN 47907, USA.
Rapid Commun Mass Spectrom. 2006;20(10):1577-84. doi: 10.1002/rcm.2474.
Desorption electrospray ionization mass spectrometry (DESI-MS) and nuclear magnetic resonance (NMR) spectroscopy are used to provide data on urine examined without sample preparation to allow differentiation between diseased (lung cancer) and healthy mice. Principal component analysis (PCA) is used to shortlist compounds with potential for biomarker screening which are responsible for significant differences between control urine samples and samples from diseased animals. Similar PCA score plots have been achieved by DESI-MS and NMR, using a subset of common detected metabolites. The common compounds detected by DESI and NMR have the same changes in sign of their concentrations thereby indicating the usefulness of corroborative analytical methods. The effects of different solvents and surfaces on the DESI mass spectra are also evaluated and optimized. Over 80 different metabolites were successfully identified by DESI-MS and tandem mass spectrometry experiments, with no prior sample preparation.
解吸电喷雾电离质谱法(DESI-MS)和核磁共振(NMR)光谱法用于在不进行样品制备的情况下提供尿液检测数据,以区分患病(肺癌)小鼠和健康小鼠。主成分分析(PCA)用于筛选具有生物标志物筛选潜力的化合物,这些化合物导致对照尿液样本与患病动物样本之间存在显著差异。使用一部分共同检测到的代谢物,DESI-MS和NMR获得了相似的PCA得分图。DESI和NMR检测到的共同化合物其浓度变化的符号相同,从而表明了确证分析方法的有用性。还评估并优化了不同溶剂和表面对DESI质谱的影响。通过DESI-MS和串联质谱实验,在无需预先样品制备的情况下成功鉴定出80多种不同的代谢物。