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Taylor dispersion monitored by electrospray mass spectrometry: a novel approach for studying diffusion in solution
Author(s) -
Clark Sonya M.,
Leaist Derek G.,
Konermann Lars
Publication year - 2002
Publication title -
rapid communications in mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.528
H-Index - 136
eISSN - 1097-0231
pISSN - 0951-4198
DOI - 10.1002/rcm.732
Subject(s) - taylor dispersion , chemistry , analyte , diffusion , dispersion (optics) , electrospray , laminar flow , analytical chemistry (journal) , mass spectrometry , electrospray ionization , diffusion process , chromatography , thermodynamics , optics , knowledge management , physics , innovation diffusion , computer science
Abstract This work describes a novel approach for monitoring analyte diffusion in solution that is based on electrospray ionization mass spectrometry (ESI‐MS). A mass spectrometer at the end of a laminar flow tube is used to measure the Taylor dispersion of an initially sharp boundary between two solutions of different analyte concentration. This boundary is dispersed by the laminar flow profile in the tube. However, this effect is diminished by analyte diffusion that continuously changes the radial position, and hence the flow velocity of individual analyte molecules. The steepness of the resulting dispersion profile therefore increases with increasing diffusion coefficient of the analyte. A theoretical framework is developed to adapt the equations governing the dispersion process to the case of mass spectrometric detection. This novel technique is applied to determine the diffusion coefficients of choline and cytochrome c . The measured diffusion coefficients, (11.9 ± 1.0) × 10 −10  m 2  s −1 and (1.35 ± 0.08) × 10 −10  m 2  s −1 , respectively, are in agreement with the results of control experiments where the Taylor dispersion of these two analytes was monitored optically. Due to the inherent selectivity and sensitivity of ESI‐MS, it appears that the approach described in this work could become a valuable alternative to existing methods for studying diffusion processes, especially for experiments on multicomponent systems. Copyright © 2002 John Wiley & Sons, Ltd.

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