Biomolecular Mass Spectrometry Laboratory, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Anal Chem. 2012 Mar 20;84(6):2850-6. doi: 10.1021/ac203391z. Epub 2012 Mar 8.
Molecular and macromolecular structure analysis by high resolution and accurate mass spectrometry (MS) is indispensable for a number of fundamental and applied research areas, including health and energy domains. Comprehensive structure analysis of molecules and macromolecules present in the extremely complex samples and performed under time-constrained experimental conditions demands a substantial increase in the acquisition speed of high resolution MS data. We demonstrate here that signal processing based on the filter diagonalization method (FDM) provides the required resolution for shorter experimental transient signals in ion cyclotron resonance (ICR) MS compared to the Fourier transform (FT) processing. We thus present the development of a FDM-based MS (FDM MS) and demonstrate its implementation in ICR MS. The considered FDM MS applications are in bottom-up and top-down proteomics, metabolomics, and petroleomics.
通过高分辨率和精确质量质谱 (MS) 进行分子和大分子结构分析对于许多基础研究和应用研究领域是不可或缺的,包括健康和能源领域。在时间受限的实验条件下对极其复杂样品中存在的分子和大分子进行全面结构分析,需要大大提高高分辨率 MS 数据的采集速度。在这里,我们证明基于滤波器对角化方法 (FDM) 的信号处理为离子回旋共振 (ICR) MS 中的较短实验瞬态信号提供了所需的分辨率,与傅里叶变换 (FT) 处理相比。因此,我们提出了一种基于 FDM 的 MS (FDM MS) 的开发,并展示了其在 ICR MS 中的实现。所考虑的 FDM MS 应用包括自上而下和自下而上的蛋白质组学、代谢组学和石油组学。