Issue 11, 2018

Broadband ion mobility deconvolution for rapid analysis of complex mixtures

Abstract

High resolving power ion mobility (IM) allows for accurate characterization of complex mixtures in high-throughput IM mass spectrometry (IM-MS) experiments. We previously demonstrated that pure component IM-MS data can be extracted from IM unresolved post-IM/collision-induced dissociation (CID) MS data using automated ion mobility deconvolution (AIMD) software [Matthew Brantley, Behrooz Zekavat, Brett Harper, Rachel Mason, and Touradj Solouki, J. Am. Soc. Mass Spectrom., 2014, 25, 1810–1819]. In our previous reports, we utilized a quadrupole ion filter for m/z-isolation of IM unresolved monoisotopic species prior to post-IM/CID MS. Here, we utilize a broadband IM-MS deconvolution strategy to remove the m/z-isolation requirement for successful deconvolution of IM unresolved peaks. Broadband data collection has throughput and multiplexing advantages; hence, elimination of the ion isolation step reduces experimental run times and thus expands the applicability of AIMD to high-throughput bottom-up proteomics. We demonstrate broadband IM-MS deconvolution of two separate and unrelated pairs of IM unresolved isomers (viz., a pair of isomeric hexapeptides and a pair of isomeric trisaccharides) in a simulated complex mixture. Moreover, we show that broadband IM-MS deconvolution improves high-throughput bottom-up characterization of a proteolytic digest of rat brain tissue. To our knowledge, this manuscript is the first to report successful deconvolution of pure component IM and MS data from an IM-assisted data-independent analysis (DIA) or HDMSE dataset.

Graphical abstract: Broadband ion mobility deconvolution for rapid analysis of complex mixtures

Supplementary files

Article information

Article type
Paper
Submitted
31 Jan 2018
Accepted
28 Mar 2018
First published
28 Mar 2018

Analyst, 2018,143, 2574-2586

Author version available

Broadband ion mobility deconvolution for rapid analysis of complex mixtures

M. E. Pettit, M. R. Brantley, F. Donnarumma, K. K. Murray and T. Solouki, Analyst, 2018, 143, 2574 DOI: 10.1039/C8AN00193F

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