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Merging Ion Concentration Polarization between Juxtaposed Ion Exchange Membranes to Block the Propagation of the Polarization Zone
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Bi-ionic potentials across liquid anion exchanger membranes.

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  • 1National Institute of Arthritis and Metabolic Diseases, National Institutes of Health, 20014, Bethesda, Md..

The Journal of Membrane Biology
|November 2, 2013
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Summary
This summary is machine-generated.

Bi-ionic potentials (B.I.P.s) in liquid anion exchange membranes are independent of solution activity and membrane loading. Higher potentials correlate with greater separation of anions on the Hofmeister series, demonstrating additive properties.

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Area of Science:

  • Electrochemistry
  • Membrane Science
  • Physical Chemistry

Background:

  • Bi-ionic potentials (B.I.P.s) are crucial for understanding ion transport across selective membranes.
  • Previous research on porous membranes indicated specific behaviors of B.I.P.s.

Purpose of the Study:

  • To systematically survey B.I.P.s in cells utilizing liquid anion exchanger membranes with high anionic selectivity.
  • To investigate the influence of ion activity, membrane loading, and anion position in the Hofmeister series on B.I.P.s.

Main Methods:

  • Fabrication of cells with the general type: A(+)L(-)c1| liquid anion exchanger membrane| A(+)M(-)c1.
  • Membranes were prepared using trioctyl-propyl ammonium salts dissolved in o-dichlorobenzene.
  • Systematic measurement of B.I.P.s across 21 cells with seven different univalent anions.

Main Results:

  • B.I.P.s were found to be largely independent of the activity of aqueous electrolytic solutions.
  • B.I.P.s showed minimal dependence on the degree of membrane loading with the ion-exchanger compound.
  • Observed B.I.P.s increased with the separation of the critical anions (L(-) and M(-)) in the Hofmeister series.
  • B.I.P.s exhibited algebraic additivity for combinations of anions, within experimental error.

Conclusions:

  • Liquid anion exchange membranes with extreme anionic selectivity exhibit predictable B.I.P. behavior.
  • The Hofmeister series is a reliable predictor of B.I.P. magnitude in these systems.
  • The additive nature of B.I.P.s simplifies predictions for complex ionic mixtures.