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Automated Deconvolution of Overlapped Ion Mobility Profiles
Authors:Matthew Brantley  Behrooz Zekavat  Brett Harper  Rachel Mason  Touradj Solouki
Affiliation:1. Department of Chemistry and Biochemistry, University of Texas at Tyler, Tyler, TX, 75799, USA
2. Department of Chemistry and Biochemistry, Baylor University, Waco, TX, 76706, USA
3. Institute of Biomedical Studies, Baylor University, Waco, TX, 76706, USA
Abstract:Presence of unresolved ion mobility (IM) profiles limits the efficient utilization of IM mass spectrometry (IM-MS) systems for isomer differentiation. Here, we introduce an automated ion mobility deconvolution (AIMD) computer software for streamlined deconvolution of overlapped IM-MS profiles. AIMD is based on a previously reported post-IM/collision-induced dissociation (CID) deconvolution approach [J. Am. Soc. Mass Spectrom. 23, 1873 (2012)] and, unlike the previously reported manual approach, it does not require resampling of post-IM/CID data. A novel data preprocessing approach is utilized to improve the accuracy and efficiency of the deconvolution process. Results from AIMD analysis of overlapped IM profiles of data from (1) Waters Synapt G1 for a binary mixture of isomeric peptides (amino acid sequences: GRGDS and SDGRG) and (2) Waters Synapt G2-S for a binary mixture of isomeric trisaccharides (raffinose and isomaltotriose) are presented. Graphical Abstract
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