Generalized model of electromigration with 1:1 (analyte:selector) complexation stoichiometry: Part II. Application to dual systems and experimental verification

Müllerová, Ludmila; Dubský, Pavel; Gaš, Bohuslav

doi:10.1016/j.chroma.2015.01.055

Cited by 12 publications

(3 citation statements)

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“…Similarly, if pHoverall parameters are measured at a defined pH and IS with several selectors, one can justifiably combine them into the M-overall parameters as if a single analyte form migrated in the multi-selector environment (11) and (12). Experimental investigation and verification of these approaches is provided in the Part II of this series of papers [30].…”

Section: The Equivalence Of the Overall Modelsmentioning

confidence: 98%

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Generalized model of electromigration with 1:1 (analyte:selector) complexation stoichiometry: Part I. Theory

Dubský

Müllerová

Dvořák

et al. 2015

Journal of Chromatography A

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Section: The Equivalence Of the Overall Modelsmentioning

confidence: 98%

“…This paper focuses on a deep theoretical analysis of such systems. We provide the experimental investigation of the model elsewhere [30].…”

Section: Introductionmentioning

confidence: 99%

Generalized model of electromigration with 1:1 (analyte:selector) complexation stoichiometry: Part I. Theory

Dubský

Müllerová

Dvořák

et al. 2015

Journal of Chromatography A

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“…In mobility shift ACE, the electrophoretic mobility of the receptor is determined in the BGE containing different concentrations of ligands. A pseudoisotherm of adsorption that can be linearized is thus constructed to extract the binding constants. − Nevertheless, it should be mentioned that currently, the binding constants are mostly extracted from the adsorption pseudoisotherms by nonlinear regression analysis, which is a preferred and more precise way as compared to the linearized plots, as shown, for example, in ref . It is also generally assumed that it is preferable to extract the information about the interaction for the effective electrophoretic mobility after subtraction of the electroosmotic contribution. , Wätzig’s group − used the normalized difference of the mobility ratios to classify interactions between proteins (BSA, HSA, myoglobulin, and so on) and metals (lithium, sodium, magnesium, calcium, barium, aluminum, gallium, silver, gold, osmium, palladium, platinum, rhodium, ruthenium, iridium, cobalt, copper, nickel, chromium, iron, vanadium, and so on) .…”

Section: Introductionmentioning

confidence: 99%

Mobility Shift Affinity Capillary Electrophoresis at High Ligand Concentrations: Application to Aluminum Chlorohydrate–Protein Interactions

et al. 2018

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The active ingredients in antiperspirant products are aluminum chlorohydrates (ACHs) that, when interacting with proteins present in sweat and sweat duct walls, lead to the obstruction of the sweat ducts and thus reduce delivery of sweat at the skin surface. This study is aimed at developing a methodology based on affinity capillary electrophoresis (ACE) to obtain a quantitative ranking of the interaction between ACHs and proteins under experimental conditions close to those of industrial applications. Usually, in ACE, the metal ligand is introduced at typically μM to mM concentrations in a background electrolyte (BGE) containing a buffering agent that sets the pH and ionic strength. In this work, ACE was implemented in a range of ACH (ligand) concentrations up to 50 g/L (0.2 M in Al(H 2 O) 6 •3Cl) in the absence of other buffering agents, to mimic as much as possible the conditions encountered in the production of antiperspirant products. Under such electrophoretic conditions, the challenge is to extract quantitative information about the interaction from the electrophoretic mobility of the protein, knowing that many effects (including Joule heating, viscosity, pH, ionic strength of the BGE, and distribution of the ligands) vary with the concentration of ACH. With relevant corrections on the effective mobility, it has been possible to observe and quantify a much stronger interaction of ACH components with bovine serum albumin compared to lysozyme.

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Affinity capillary electrophoresis: the theory of electromigration

2016

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We focus on the state-of-the-art theory of electromigration under single and multiple complexation equilibrium. Only 1:1 complexation stoichiometry is discussed because of its unique status in the field of affinity capillary electrophoresis (ACE). First, we summarize the formulas for the effective mobility in various ACE systems as they appeared since the pioneering days in 1992 up to the most recent theories till 2015. Disturbing phenomena that do not alter the mobility of the analyte directly but cause an unexpected peak broadening have been studied only recently and are also discussed in this paper. Second, we turn our attention to the viscosity effects in ACE. Change in the background electrolyte viscosity is unavoidable in ACE but numerous observations scattered throughout the literature have not been reviewed previously. This leads to an uncritical employment of correction factors that may or may not be appropriate in practice. Finally, we consider the ionic strength effects in ACE, too. Limitations of the current theories are also discussed and the tasks identified where open problems still prevail. Graphical Abstract A weak base (A) undergoes an acidic-basic equilibria (in blue) and migrates with an electrophoretic mobility of [Formula: see text]. Simultaneously, it interacts with a selector (sel) while the analyte-selector complex migrates with an electrophoretic mobility of [Formula: see text]. The strength of the interaction (in orange) is governed by the binding constant, K , and the concentration of the selector, c . This all gives the analyte an effective mobility of [Formula: see text] and moves it out of the zero position (EOF; right top insert). The interaction of the positively charged analyte with the neutral selector slows down the analyte with increasing selector concentration (right bottom insert).

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Generalized model of electromigration with 1:1 (analyte:selector) complexation stoichiometry: Part II. Application to dual systems and experimental verification

Cited by 12 publications

References 54 publications

Generalized model of electromigration with 1:1 (analyte:selector) complexation stoichiometry: Part I. Theory

Generalized model of electromigration with 1:1 (analyte:selector) complexation stoichiometry: Part I. Theory

Mobility Shift Affinity Capillary Electrophoresis at High Ligand Concentrations: Application to Aluminum Chlorohydrate–Protein Interactions

Affinity capillary electrophoresis: the theory of electromigration

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