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Updated: Jun 28, 2026

Dynamic Electrochemical Measurement of Chloride Ions
07:32

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Published on: February 5, 2016

Anionic interferences with copper ion-selective electrodes chloride and bromide interferences.

A Lewenstam1, T Sokalski, A Hulanicki

  • 1Department of Chemistry, University of Warsaw, Warsaw, Poland.

Talanta
|July 1, 1985
PubMed
Summary

Halide ions destabilize copper ion-selective electrodes by forming sulfur, but sodium thiosulphate addition and a diffusion model improve potential response and enable accurate copper measurements.

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Area of Science:

  • Electrochemistry
  • Analytical Chemistry

Background:

  • Halide ions interfere with copper ion-selective electrodes (ISEs) through complexation and redox reactions.
  • Amorphous sulfur formation on the electrode surface leads to potential instability.
  • Existing methods lack effective solutions for halide interference in copper analysis.

Purpose of the Study:

  • To investigate the mechanism of halide ion interference on copper ISEs.
  • To develop a method for stabilizing copper ISEs in the presence of halides.
  • To propose a model for linearization of calibration curves and accurate copper determination.

Main Methods:

  • Electrochemical analysis of copper ISEs in the presence of halide ions (chloride, bromide).
  • Addition of sodium thiosulphate solution to mitigate sulfur deposition.
  • Application of a diffusion model to explain electrode behavior.
  • Development of a semiempirical model for calibration curve linearization.

Main Results:

  • Sodium thiosulphate effectively eliminates sulfur-induced potential instability.
  • The diffusion model accurately describes the electrode's behavior.
  • A proposed equation linearizes the calibration curve, improving accuracy.
  • Accurate copper concentration measurements are achievable despite significant halide concentrations.

Conclusions:

  • The study elucidates the role of halide ions and sulfur formation in copper ISE instability.
  • Sodium thiosulphate is an effective additive for stabilizing copper ISEs.
  • The proposed diffusion and semiempirical models provide a robust framework for accurate copper analysis in complex matrices.