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Broadband ion mobility deconvolution for rapid analysis of complex mixtures

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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

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Publication details

The article was received on 31 Jan 2018, accepted on 28 Mar 2018 and first published on 28 Mar 2018


Article type: Paper
DOI: 10.1039/C8AN00193F
Citation: Analyst, 2018, Advance Article
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    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, Advance Article , DOI: 10.1039/C8AN00193F

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