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An Umeclidinium membrane sensor; Two-step optimization strategy for improved responses.

Ali M Yehia1, Hany H Monir1

  • 1Analytical Chemistry Department, Faculty of Pharmacy, Cairo University, El-Kasr El-Aini Street, 11562 Cairo, Egypt.

Talanta
|June 13, 2017
PubMed
Summary
This summary is machine-generated.

We optimized a membrane sensor for Umeclidinium bromide (UMEC) analysis, a drug for chronic obstructive pulmonary disease. The new sensor shows improved detection limits and selectivity, validated in pharmaceutical and plasma samples.

Keywords:
Experimental designMembrane sensorPotentiometryUmeclidinium bromide

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Area of Science:

  • Analytical Chemistry
  • Electrochemistry
  • Sensor Technology

Background:

  • Umeclidinium bromide (UMEC) is a muscarinic antagonist crucial for managing chronic obstructive pulmonary disease (COPD).
  • Accurate and sensitive analytical methods are essential for UMEC quantification in pharmaceutical formulations and biological samples.
  • Optimization of membrane sensors can enhance selectivity and detection limits for drug analysis.

Purpose of the Study:

  • To develop and optimize an ion-selective membrane sensor for the precise determination of Umeclidinium bromide (UMEC).
  • To improve the sensor's performance characteristics, including Nernstian response, detection limit, and selectivity.
  • To validate the optimized sensor for UMEC analysis in pharmaceutical products and plasma samples.

Main Methods:

  • A two-step strategy involving Taguchi design for component screening and continuous factor design for optimization was employed.
  • Membrane components (ion exchanger, ionophore, plasticizer) were screened and optimized for the PVC-based sensor.
  • Sensor performance was evaluated based on Nernstian response, detection limit, and selectivity against potential interferents.

Main Results:

  • The optimized membrane sensor incorporated specific percentages of tetrakis-[3,5-bis(trifluoro-methyl)phenyl] borate, calix[6]arene, and 2-nitrophenyl octylether in PVC.
  • The sensor achieved a near-Nernstian response of 59.7 mV/decade and a significantly reduced detection limit of 8×10⁻⁸ mol L⁻¹.
  • The sensor demonstrated excellent linearity (3.16×10⁻⁷ - 1×10⁻³ mol L⁻¹), selectivity, and successful application in analyzing UMEC in inhalation powder and plasma samples.

Conclusions:

  • The developed membrane sensor offers a sensitive and selective method for UMEC determination.
  • The optimization protocol effectively enhanced sensor performance, reducing the detection limit by two orders of magnitude.
  • The validated sensor provides a reliable tool for quality control of UMEC in pharmaceutical formulations and for therapeutic drug monitoring in biological matrices.