Multivariate optimization of mebeverine analysis using molecularly imprinted polymer electrochemical sensor based on silver nanoparticles /polypyrrole film

Thin film of a molecular imprinted polymer(MIP) based on electropolymerization method with sensitive and selective binding sites for mebeverine(MEB) was developed. This film was cast on graphite pencil electrode by electrochemical polymerization in solution of pyrrole and template MEB via cyclic voltammetry scans and further electro deposition of silver nanoparticles(AgNPs). All electroanalytical measurements were done at room temperature by differential pulls voltametery (DPV). Several significant parameters controlling the performance of the MIP sensor were examined and optimized using multivariate optimization methods such as Plackett–Burman design (PBD) and central composite design (CCD). The AgNPs-MIP-PGE exhibited excellent electrocatalytic behavior for the oxidation of MEB as evidenced by the enhancement of the oxidation peak current and the shift in the oxidation potential to less positive values (66 mV) in comparison with a MIP-PGE (72 mv). Under the selected optimal conditions, MIP sensor was showed two linear ranges from 1 × 10 -8 to 1 × 10 -6 and 1 × 10 -5 to 1 ×10-3 M with limit of detection of 8.6× 10 -9M. The imprinted sensor showed the advantages of high porous surface structure, ease of preparation, good reproducibility and repeatability (RSD 1.1%), high selectivity and sensitivity.