2003
DOI: 10.1002/elps.200390048
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Mathematical modelling of adsorption and transport processes in capillary electrochromatography: Open‐tubular geometry

Abstract: A mathematical modelling approach for open-tubular capillary electrochromatography is presented. The spatially one-dimensional model takes into account (i) a coupling of (non)linear adsorption of positively or negatively charged analyte molecules (at a negatively charged capillary inner surface) with the equilibrium electrokinetics at this solid-liquid interface, (ii) mobile phase transport by electroosmosis and pressure-driven flow, as well as (iii) transport of species by electrophoresis and molecular diffus… Show more

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Cited by 26 publications
(19 citation statements)
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“…(4). The values are similar only for the higher Cu values, due to the depletion occurring in this microsystem (h 5 50 mm).…”
Section: Appendix Depletion Effect: Validity Remarkmentioning
confidence: 75%
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“…(4). The values are similar only for the higher Cu values, due to the depletion occurring in this microsystem (h 5 50 mm).…”
Section: Appendix Depletion Effect: Validity Remarkmentioning
confidence: 75%
“…The theoretical C eq / C max values are calculated from eqn. (4). The experimental C eq /C max is obtained from simulations run with the geometry of Fig.…”
Section: Reagents and Proceduresmentioning
confidence: 99%
See 1 more Smart Citation
“…Paces et al [127] developed a new mathematical modeling approach to describe adsorption and transport processes in open tubular CEC with porous adsorbents. The elution of charged analytes was shown to be a complex interplay of the z-potential, adsorption isotherm, surface to volume ratio, pH, analyte, and background electrolyte concentration.…”
Section: Capillary Electrochromatographymentioning
confidence: 99%
“…In contrast to the dynamic models referred to above, this approach is based upon the modeling of the trajectories of each individual molecule, requires extremely powerful computers in order to compute the motion of a statistically significant number of molecules and is not further considered in this review. Other theoretical work absent from this review includes (i) a stochastic model describing the consequences of wall adsorption in CE [84], (ii) the temperature-dependent interconversion models of dynamic electrophoresis [85][86][87][88], (iii) the simulation model for electroinjection analysis and electrophoretically mediated microanalysis [89], (iv) the affinity electrophoresis models of Andreev et al [90] and Fang and Chen [91][92][93][94], which describe affinity interactions in CE under simplified electromigration conditions, (v) the models of Cann and coworkers describing interacting systems in ZE [95], MBE [96] and IEF [97][98][99], (vi) the models predicting analyte separation in CEC [100][101][102][103][104], (vii) all multi-dimensional models that describe electrokinetically driven mass transport and separations in microfabricated chip devices, such as those of Ermakov et al [105], Bianchi et al [106], Chatterjee [107], Sounart and Baygents [108], Datta and Ghosal [109] and Hirokawa et al [110], (viii) the model of electrokinetic sample injection for capillary CZE with consideration of the electrode configuration [111], (ix) the models that predict sample zone formation, distortion and solute separation in continuous flow electrophoresis [112,113] and recycling electrophoresis [114][115][116], (x) the models describing off-gel electrophores...…”
Section: Introductionmentioning
confidence: 99%