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Potentiometric propranolol-selective sensor based on molecularly imprinted polymer.

O Gurtova1, L Ye, F Chmilenko

  • 1Analytical Chemistry Department, Oles Honchar Dnipropetrovsk National University, av.Gagarina72, 49050 Dnipropetrovsk, Ukraine. olga.gurtovaya@mail.ru

Analytical and Bioanalytical Chemistry
|October 30, 2012
PubMed
Summary

A new molecularly imprinted polymer sensor accurately detects propranolol, an adrenergic-blocking drug, in pharmaceutical preparations. This potentiometric sensor offers high selectivity and sensitivity for propranolol determination.

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Area of Science:

  • Electroanalytical Chemistry
  • Polymer Science
  • Pharmaceutical Analysis

Background:

  • Propranolol is a widely used adrenergic-blocking drug.
  • Accurate and selective determination of propranolol is crucial for therapeutic monitoring and quality control.
  • Existing analytical methods may have limitations in sensitivity, selectivity, or sample throughput.

Purpose of the Study:

  • To design and develop a novel potentiometric sensor for the selective determination of propranolol.
  • To investigate the performance of the sensor in various conditions and real-world samples.

Main Methods:

  • Development of a molecularly imprinted polymer (MIP) based electrode.
  • Optimization of MIP particle content and additives (sodium tetraphenylborate) in a polyvinylchloride membrane.
  • Evaluation of potentiometric response, Nernstian behavior, and detection limits.
  • Assessment of sensor selectivity against inorganic cations and structurally similar drugs (atenolol, metoprolol).
  • Application of the sensor for direct potentiometric determination of propranolol in aqueous solutions and pharmaceutical formulations.

Main Results:

  • The developed MIP-based potentiometric sensor demonstrated near-Nernstian responses for propranolol down to 10(-4)-10(-5) M.
  • The sensor exhibited excellent selectivity for propranolol over inorganic cations and related drugs.
  • The potentiometric response in a mixed nonaqueous medium was reported for the first time.
  • Successful determination of propranolol in aqueous modeling solutions and pharmaceutical preparations was achieved with good accuracy.

Conclusions:

  • A novel and effective potentiometric sensor for propranolol using molecularly imprinted polymers was successfully developed.
  • The sensor offers high sensitivity, selectivity, and applicability for the direct determination of propranolol in pharmaceutical samples.
  • This work presents a promising analytical tool for propranolol quantification in clinical and pharmaceutical settings.