Hamid Ahmed M, Jarmusch Alan K, Pirro Valentina, Pincus David H, Clay Bradford G, Gervasi Gaspard, Cooks R Graham
Department of Chemistry and Center for Analytical Instrumentation Development, Purdue University , West Lafayette, Indiana 47907, United States.
Anal Chem. 2014 Aug 5;86(15):7500-7. doi: 10.1021/ac501254b. Epub 2014 Jul 22.
Paper spray mass spectrometry ambient ionization is utilized for rapid discrimination of bacteria without sample preparation. Bacterial colonies were smeared onto filter paper precut to a sharp point, then wetted with solvent and held at a high potential. Charged droplets released by field emission were sucked into the mass spectrometer inlet and mass spectra were recorded. Sixteen different species representing eight different genera from Gram-positive and Gram-negative bacteria were investigated. Phospholipids were the predominant species observed in the mass spectra in both the negative and positive ion modes. Multivariate data analysis based on principal component analysis, followed by linear discriminant analysis, allowed bacterial discrimination. The lipid information in the negative ion mass spectra proved useful for species level differentiation of the investigated Gram-positive bacteria. Gram-negative bacteria were differentiated at the species level by using a numerical data fusion strategy of positive and negative ion mass spectra.
纸喷雾质谱常压电离用于无需样品制备即可快速鉴别细菌。将细菌菌落涂抹在预先剪成尖点的滤纸上,然后用溶剂润湿并保持在高电位。场发射释放的带电液滴被吸入质谱仪进样口并记录质谱。研究了代表革兰氏阳性菌和革兰氏阴性菌八个不同属的十六种不同菌种。磷脂是在负离子和正离子模式的质谱中观察到的主要物种。基于主成分分析的多变量数据分析,随后进行线性判别分析,实现了细菌鉴别。负离子质谱中的脂质信息被证明对所研究的革兰氏阳性菌的种水平分化有用。革兰氏阴性菌通过使用正负离子质谱的数值数据融合策略在种水平上进行区分。