AutoCCS: automated collision cross-section calculation software for ion mobility spectrometry-mass spectrometry

AutoCCS:离子迁移谱-质谱自动碰撞截面计算软件

阅读:6
作者:Joon-Yong Lee, Aivett Bilbao, Christopher R Conant, Kent J Bloodsworth, Daniel J Orton, Mowei Zhou, Jesse W Wilson, Xueyun Zheng, Ian K Webb, Ailin Li, Kim K Hixson, John C Fjeldsted, Yehia M Ibrahim, Samuel H Payne, Christer Jansson, Richard D Smith, Thomas O Metz

Methods

a standard and a new enhanced method) and (iii) linear calibration for Bruker timsTOF and non-linear calibration methods for traveling wave based-IMS in Waters Synapt and Structures for Lossless Ion Manipulations. We demonstrated that AutoCCS offers an accurate and reproducible determination of CCS for both standard and unknown analyte ions in various IMS-MS platforms, IMS-field methods, ionization modes and collision gases, without requiring manual processing. Availability and implementation: https://github.com/PNNL-Comp-Mass-Spec/AutoCCS.

Results

We present AutoCCS, an open-source software to rapidly determine CCS values from IMS-MS measurements. We conducted various IMS experiments in different formats to demonstrate the flexibility of AutoCCS for automated CCS calculation: (i) stepped-field methods for drift tube-based IMS (DTIMS), (ii) single-field methods for DTIMS (supporting two calibration methods: a standard and a new enhanced method) and (iii) linear calibration for Bruker timsTOF and non-linear calibration methods for traveling wave based-IMS in Waters Synapt and Structures for Lossless Ion Manipulations. We demonstrated that AutoCCS offers an accurate and reproducible determination of CCS for both standard and unknown analyte ions in various IMS-MS platforms, IMS-field methods, ionization modes and collision gases, without requiring manual processing. Availability and implementation: https://github.com/PNNL-Comp-Mass-Spec/AutoCCS.

Supplementary Information

Supplementary data are available at Bioinformatics online. Demo datasets are publicly available at MassIVE (Dataset ID: MSV000085979).

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。