Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Universität Leipzig, 04103 Leipzig, Germany.
Center for Biotechnology and Biomedicine, Universität Leipzig, 04103 Leipzig, Germany.
Anal Chem. 2022 Aug 9;94(31):10930-10941. doi: 10.1021/acs.analchem.2c00461. Epub 2022 Jul 29.
The inherent poor sampling of fragment ions in time-of-flight mass analyzers was recently improved for data-dependent acquisition (DDA) by considering their drift times in traveling wave ion mobility spectrometry (TWIMS). Here, we extend this TWIMS-DDA approach to the data-independent acquisition (DIA) mode MS to improve the signal intensities of fragment ions by providing improved ion beam sampling efficiency, which we termed therefore signal-enhanced MS (SEMS). The theoretical expectation that SEMS improves the number of identified peptides, the number of quantifiable peptides, and the lower limit of quantitation in wideband DIA was evaluated on an electrospray ionisation-ion mobility spectrometry-quadrupole-time-of-flight-MS (ESI-IMS-Q-TOF-MS) (Synapt G2-S) in comparison to five established TWIMS-DDA and TWIMS-MS methods with respect to the number of peptide identifications, the spectral quality of supporting peptide spectra matches, and (most importantly) fragment ion signal sensitivity. A comparison of the fragment signals clearly indicated that SEMS provides 6.8- to 11.5-fold larger peak areas than established MS techniques. While this clearly shows the advantages of SEMS, the inherent limitations of the current software tools do not allow using all benefits in routine analyses. As the simultaneous fragmentation of co-eluting peptides limited peptide identification, DDA and MS data sets were integrated using Skyline.
飞行时间质谱分析器中碎片离子的固有采样不足问题最近通过考虑它们在飞行波离子淌度谱(TWIMS)中的漂移时间得到了改善,这种方法可用于数据依赖采集(DDA)。在这里,我们将这种 TWIMS-DDA 方法扩展到数据非依赖采集(DIA)模式 MS 中,通过提供改进的离子束采样效率来提高碎片离子的信号强度,因此我们称之为信号增强 MS(SEMS)。通过电喷雾电离-离子淌度谱-四极杆飞行时间质谱(ESI-IMS-Q-TOF-MS)(Synapt G2-S)评估了 SEMS 可提高宽带 DIA 中鉴定肽的数量、可定量肽的数量和定量下限的理论预期,与五种已建立的 TWIMS-DDA 和 TWIMS-MS 方法相比,从鉴定肽的数量、支持肽谱匹配的谱图质量(最重要的是)碎片离子信号灵敏度方面进行了比较。碎片信号的比较清楚地表明,SEMS 提供的峰面积比已建立的 MS 技术大 6.8-11.5 倍。虽然这清楚地显示了 SEMS 的优势,但当前软件工具的固有局限性不允许在常规分析中利用所有优势。由于共洗脱肽的同时碎裂限制了肽的鉴定,因此使用 Skyline 对 DDA 和 MS 数据集进行了整合。