Multivariate optimization of mebeverine analysis using molecularly imprinted polymer electrochemical sensor based on...

Area of Science:

• Electrochemistry
• Materials Science
• Analytical Chemistry

Background:

• Developing selective and sensitive sensors is crucial for accurate drug monitoring.
• Molecularly imprinted polymers (MIPs) offer tailored recognition sites for specific analytes.
• Electropolymerization provides a versatile method for creating functional polymer films on electrode surfaces.

Purpose of the Study:

• To develop and optimize a novel electrochemical sensor for the sensitive and selective detection of mebeverine (MEB).
• To investigate the influence of various parameters on sensor performance using multivariate optimization.
• To validate the sensor's applicability for MEB determination in real biological and pharmaceutical samples.

Main Methods:

• Fabrication of a molecularly imprinted polymer (MIP) film on a pencil graphite electrode (PGE) via electropolymerization of pyrrole in the presence of mebeverine (MEB) as a template.
• Electrodeposition of silver nanoparticles (AgNPs) onto the MIP surface to enhance sensor performance.
• Optimization of key parameters including monomer and template concentrations, electropolymerization cycles, scan rate, AgNPs deposition time, stirring rate, electrode loading time, and buffer pH using Plackett-Burman (PBD) and Central Composite Designs (CCD).
• Electrochemical characterization and performance evaluation of the developed sensor.

Main Results:

• A sensitive and selective AgNPs-MIP-PGE sensor for MEB was successfully developed.
• Optimization studies identified key parameters significantly impacting sensor performance.
• The sensor exhibited two linear ranges for MEB detection: 1 × 10⁻⁸ to 1 × 10⁻⁶ M and 1 × 10⁻⁵ to 1 × 10⁻³ M.
• A low limit of detection (LOD) of 8.6 × 10⁻⁹ M (S/N=3) was achieved.
• The sensor demonstrated high reproducibility with a relative standard deviation (RSD) of 1.1% and was successfully applied to determine MEB in serum and capsule samples.

Conclusions:

• The developed AgNPs-MIP-PGE sensor is a promising tool for the accurate and reliable determination of mebeverine.
• The sensor's performance was significantly enhanced by the incorporation of silver nanoparticles and optimization of fabrication parameters.
• The method shows excellent potential for application in real-world sample analysis, including biological fluids and pharmaceutical formulations.