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Updated: Jul 19, 2026

On-chip Isotachophoresis for Separation of Ions and Purification of Nucleic Acids
Published on: March 2, 2012
Cationic or anionic sites? Selectivity optimization of ion-selective electrodes based on charged ionophores
Ionic sites significantly influence ion-selective electrode (ISE) performance. Contrary to prior beliefs, the charge sign of these sites that optimizes selectivity depends on ion charges and complex stoichiometry, as confirmed by experimental data.
Area of Science:
- Electrochemistry
- Analytical Chemistry
- Materials Science
Background:
- Ion-selective electrodes (ISEs) are crucial for ion detection.
- The role of ionic sites in ISE selectivity has been studied, but a generalized model was lacking.
- Previous understanding suggested only ionic sites matching the primary ion's charge improve selectivity in charged ionophore ISEs.
Purpose of the Study:
- To present a generalized phase boundary potential model for ISE selectivity.
- To investigate the influence of ionic sites on ISE selectivity for various ion charges and ionophore types.
- To challenge the existing paradigm regarding the charge sign of ionic sites for optimal selectivity.
Main Methods:
- Development of a generalized phase boundary potential model.
- Experimental validation using three ISEs with different charged ionophores (lasalocid, ETH 5639, and a molybdenum-porphyrin complex).
- Analysis of potentiometric selectivities and ion-ionophore complex stabilities.
Main Results:
- The model applies to primary and interfering ions of any charge and to charged or neutral ionophores.
- Optimal ionic site charge sign depends on primary/interfering ion charges and complex stoichiometry.
- Two novel ISEs demonstrated maximum selectivity with ionic sites opposite in charge to the primary ion.
- An F- ISE showed improved selectivity with increasing anionic sites.
Conclusions:
- The charge sign of ionic sites is not the sole determinant of ISE selectivity; ion charge and complex stoichiometry are critical.
- The developed model provides a more comprehensive understanding of ISE selectivity.
- Experimental results validate the model and reveal new strategies for designing high-performance ISEs.
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