Zamfir Alina, Vukelić Zeljka, Bindila Laura, Peter-Katalinić Jasna, Almeida Reinaldo, Sterling Alistair, Allen Mark
Institute for Medical Physics and Biophysics, Biomedical Analysis, University of Münster, Münster, Germany.
J Am Soc Mass Spectrom. 2004 Nov;15(11):1649-57. doi: 10.1016/j.jasms.2004.08.002.
The introduction of chip-based electrospray (ESI) ion sources into biological mass spectrometry (MS) addressed the fundamental issue of how to analyze minute amounts of complex biological systems. The automation of sample delivery into the MS combined with the chip-based ESI allows for high quality bioanalysis in a high-throughput fashion. These advantages have already been demonstrated in proteomics, direct screening of drugs and drug discovery. As part of our continuing effort to implement automated chip-based mass spectrometry into the field of complex carbohydrate analysis, we hereby report the development of a chipESI MS and MS/MS methodology for the screening of gangliosides. A strategy to characterize a complex ganglioside mixture from human cerebellar tissue, by automated ESIchip-quadrupole time-of-flight (QTOF) MS and MS/MS is presented here. The feasibility of this method, and the general experimental requirements for automated chipESI MS analysis of these carbohydrate species is described.
基于芯片的电喷雾（ESI）离子源引入生物质谱（MS）解决了如何分析微量复杂生物系统这一基本问题。将样品输送到质谱仪的自动化过程与基于芯片的电喷雾相结合，能够以高通量方式进行高质量生物分析。这些优势已在蛋白质组学、药物直接筛选和药物发现中得到证明。作为我们持续努力将基于芯片的自动化质谱应用于复杂碳水化合物分析领域的一部分，我们在此报告用于神经节苷脂筛选的芯片电喷雾质谱和串联质谱方法的开发。本文介绍了一种通过自动化电喷雾芯片 - 四极杆飞行时间（QTOF）质谱和串联质谱对来自人类小脑组织的复杂神经节苷脂混合物进行表征的策略。描述了该方法的可行性以及对这些碳水化合物种类进行自动化芯片电喷雾质谱分析的一般实验要求。
