Characterisation of electroosmotic flow in capillary electrochromatography columns

Dearie, H S; Spikmans, Val; Smith, Norman W.; Moffatt, Frank; Wren, Stephen; Evans, Kenneth P.

doi:10.1016/s0021-9673(01)01166-9

Cited by 26 publications

(17 citation statements)

References 25 publications

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“…where Z is the viscosity of the solution, e r its relative permittivity of the medium and e 0 the permittivity of vacuum [26,27]. The viscosity and permittivity data were taken from the literature [28][29][30].…”

Section: Methodsmentioning

confidence: 99%

Zeta potential determination as a new way of stationary phases characterization for liquid chromatography

Buszewski

Bocian

Dziubakiewicz

2010

J of Separation Science

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A set of seven homemade octadecyl silica-based bonded phases was investigated. Their zeta potential data in methanol and ACN as well as in methanol-water and ACN-water solution were obtained using Zetasizer. The influence of both the coverage density of bonded ligands and the end-capping of the modified surface on these data was investigated. Presented results may give useful information about the accessibility of the residual silanols in different mobile phases during the chromatographic analysis. Those measurements may be useful to choose chemically bonded stationary phases for CEC. The results also confirm the phenomena of anion exclusion from the pores of stationary-bonded phase.

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Section: Methodsmentioning

confidence: 99%

Zeta potential determination as a new way of stationary phases characterization for liquid chromatography

Buszewski

Bocian

Dziubakiewicz

2010

J of Separation Science

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“…Surprisingly, the m eo packed exhibited only limited increase (,8%) with the ACN content increases. For CEC capillary packed with particles of RP, electroosmotic mobility is expected to increase as the organic solvent content of the mobile phase increases [24,55].…”

Section: Influence Of Analytical Conditionsmentioning

confidence: 99%

Selection of two reliable parameters to evaluate the impact of the mobile‐phase composition on capillary electrochromatography performance with monolithic and particle‐packed capillary columns

Progent¹,

Augustin²,

Tran³

et al. 2006

Electrophoresis

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Different models have been described in the literature to evaluate the total porosity of CEC columns: gravimetric, flow as well as conductivity-based methods. In this study, these models have been compared for two kinds of CEC columns: two mixed-mode silica particle stationary phases and different monolithic columns (acrylate or polystyrene divinylbenzene-based). The total porosities measured from the conductivity-based methods were lower than the total column porosities obtained by gravimetric or flow methods for all the investigated columns while the wide distribution of observed values shows that conductivity-based methods discriminate columns more efficiently with very different properties. We propose a conductivity-based method taking into account the actual length proposed by Horvath, to evaluate what we call an "actual electrokinetic" porosity (AEP). This parameter, based on electrokinetic theory only, affords the most consistent evaluation of porosity under experimental CEC conditions for the packed- and acrylate-based monolithic columns. To illustrate the potential of AEP and actual EOF for the estimation of the performances of a CEC system (stationary and mobile phases) we studied the influence of the mobile-phase composition on these parameters for CEC separations with an ammonium embedded packed stationary phase. The AEP and the actual electroosmotic mobility should allow a better understanding of the perfusive EOF and stationary-phase wettability. For neutral compounds (substituted phenols), AEP evaluation allowed us to predict the mobile-phase conditions able to enhance the efficiency while both AEP and actual EOF had to be considered in the case of peptide analysis.

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“…The use of Pluronic F-127 is essential for optimal cell loading of both SBFI AM and PBFI AM due to the poor aqueous solubility of the dyes. 1 mL of a 20% w/v solution of Pluronic F-127 in DMSO (P-3000) is used in this case [35]. The cells are incubated with the indicators for a period of 40 min before washing them twice with cell culture medium (DMEM/10% FBS) for a period of 2 min each.…”

Section: Visualization Of Physiological Effects/cell Staining Protocolmentioning

confidence: 99%

“…where a is a parameter defining the effective polarizability of the particle and the factor rE 2 is proportional to the gradient and the strength of the applied electric field strength [35].…”

Section: Numerical Analysis For Single-neuron Array Formationmentioning

confidence: 99%

Neuron‐based microarray sensors for environmental sensing

Prasad¹,

Zhang²,

Ozkan³

et al. 2004

Electrophoresis

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We present a novel sensing scheme for detecting the effects of unburned fossil fuels by integrating microarray technology and dielectrophoresis to develop single-neuron arrays. These arrays have the capability to sense and identify the two fuels, at parts per billion (ppb) concentrations, as well to determine the associated physiological changes at the single-cell level. Identification is achieved through frequency domain analysis of the measured changes to the extracellular electrical activity due to the effect of the fossil fuels. This yields unique electrical identifiers known as "signature patterns". Simultaneous optical visualization to the physiological changes is obtained by specific fluorescent staining. The correlation between the signature patterns and the cellular biological behavior establishes the veracity of this identification technique.

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Characterisation of electroosmotic flow in capillary electrochromatography columns

Cited by 26 publications

References 25 publications

Zeta potential determination as a new way of stationary phases characterization for liquid chromatography

Zeta potential determination as a new way of stationary phases characterization for liquid chromatography

Selection of two reliable parameters to evaluate the impact of the mobile‐phase composition on capillary electrochromatography performance with monolithic and particle‐packed capillary columns

Neuron‐based microarray sensors for environmental sensing

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