Predicting ion mobility collision cross sections directly from standard quantum chemistry software.

J Mass Spectrom

Department of Chemistry and Biochemistry, Texas Christian University, Fort Worth, TX, 76129, USA.

Published: May 2018

A method is proposed to predict ions' collision cross-sectional area from properties that are already evaluated in standard quantum chemistry software. Computed molecular isodensity surface areas recover the predictions of existing projection approximations. Computed solvent cavity areas give comparable accuracy. This provides a simplified workflow for assigning ion-mobility mass spectra.

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Source
http://dx.doi.org/10.1002/jms.4078DOI Listing

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