2011
DOI: 10.1017/jfm.2011.139
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Sample dispersion in isotachophoresis

Abstract: We present an analytical, numerical and experimental study of advective dispersion in isotachophoresis (ITP). We analyse the dynamics of the concentration field of a focused analyte in peak mode ITP. The analyte distribution is subject to electromigration, diffusion and advective dispersion. Advective dispersion results from strong internal pressure gradients caused by non-uniform electro-osmotic flow (EOF). Analyte dispersion strongly affects the sensitivity and resolution of ITP-based assays. We perform axis… Show more

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Cited by 57 publications
(116 citation statements)
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“…For the numerical model, we regard the ITP interface width as a time-varying quantity δðtÞ and assume colocated Gaussian concentration profiles for all focused species. As described by Garcia-Schwarz et al (31), this assumption is reasonable when the mobilities of focused species are significantly greater and less than the those of TE and LE, respectively, and when concentration of focused species is significantly lower than those of both TE and LE, as we consider here. The species concentrations c i are assumed unsteady and one-dimensional, so the conservation equations in the frame of reference of the moving ITP zone are…”
Section: Resultsmentioning
confidence: 69%
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“…For the numerical model, we regard the ITP interface width as a time-varying quantity δðtÞ and assume colocated Gaussian concentration profiles for all focused species. As described by Garcia-Schwarz et al (31), this assumption is reasonable when the mobilities of focused species are significantly greater and less than the those of TE and LE, respectively, and when concentration of focused species is significantly lower than those of both TE and LE, as we consider here. The species concentrations c i are assumed unsteady and one-dimensional, so the conservation equations in the frame of reference of the moving ITP zone are…”
Section: Resultsmentioning
confidence: 69%
“…The characteristic ITP interface width δ is determined by a balance between electromigration and diffusion. For constant current, ITP theory predicts constant δ; however, in practice, several factors may cause its increase in time (30,31). For the numerical model, we regard the ITP interface width as a time-varying quantity δðtÞ and assume colocated Gaussian concentration profiles for all focused species.…”
Section: Resultsmentioning
confidence: 99%
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“…The distribution of sample ions is determined by the self-sharpening interface between neighboring zones (here the TE and LE) and the value of the sample effective mobility relative to these zones. 14 Multiple sample ions focus within the same narrow ITP interface region as largely overlapping peaks. The interface and peak widths, as well as the associated preconcentration factor, scale inversely with the applied current (see experiments in Figure 2b).…”
Section: Physics Of Itpmentioning
confidence: 99%
“…In CZE, pH and ionic strength in the separation channel are uniform and determined directly by the background buffer chemistry, which can be quantified ex situ. Furthermore, CZE is easily compatible with systems with unsuppressed EOF, as CZE avoids non-uniform electric fields and non-uniform electroosmotic mobilities which can give rise to significant analyte zone dispersion [27,28].…”
Section: Introductionmentioning
confidence: 99%