Zamfir Alina, Vakhrushev Sergey, Sterling Alistair, Niebel Hans Jörg, Allen Mark, Peter-Katalinić Jasna
Biomedical Analysis, Institute for Medical Physics and Biophysics, University of Münster, Germany.
Anal Chem. 2004 Apr 1;76(7):2046-54. doi: 10.1021/ac035320q.
Carbohydrates represent a major class of biopolymers, which occur in nature either as oligosaccharides or glycoconjugates, in which the sugar moiety is linked to proteins or lipids. The significance of mass spectrometry for highly sensitive analysis of complex carbohydrates increased after the introduction of the electrospray ionization and matrix assisted laser desorption/ionization methods and the possibility of tandem MS for sequencing of single molecular species in complex mixtures. Rapid and sensitive characterization of carbohydrates in biological systems by automated nanoscale liquid delivery and chip-based electrospray interface techniques have not been developed so far. In this contribution, the implementation and optimization of a fully automated chip-based nanoelectrospray assembly (NanoMate system), operating in the negative ion mode, in combination with QTOF-tandem MS for mapping/sequencing and computer-assisted structure assignment for carbohydrate components in complex mixtures is presented.
碳水化合物是一类主要的生物聚合物，在自然界中以寡糖或糖缀合物的形式存在，其中糖部分与蛋白质或脂质相连。在引入电喷雾电离和基质辅助激光解吸/电离方法以及串联质谱用于复杂混合物中单一分子物种测序的可能性之后，质谱法对复杂碳水化合物进行高灵敏度分析的重要性增加了。到目前为止，尚未开发出通过自动纳米级液体输送和基于芯片的电喷雾接口技术对生物系统中的碳水化合物进行快速、灵敏表征的方法。在本论文中，展示了一种完全自动化的基于芯片的纳米电喷雾组件（NanoMate系统）在负离子模式下的实施和优化，该组件与QTOF串联质谱联用，用于复杂混合物中碳水化合物成分的图谱绘制/测序以及计算机辅助结构归属。
