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Computer-aided study and multivariate optimization of nanomolar metformin hydrochloride analysis using molecularly imprinted polymer electrochemical sensor based on silver nanoparticles

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Abstract

In this research project, a selective and sensitive sensor was electrochemically designed to measure metformin hydrochloride (MET) based on molecularly imprinted polymer (MIP). To prepare the sensor, the polypyrrole was electrochemically synthesized on a pencil graphite electrode (PGE), which modified with silver nanoparticles (AgNPs). Cyclic voltammetry and differential pulse voltammetry techniques were performed to fabricate the sensor and quantitative measurements, respectively. To select the functional monomers, a computational method was used. Some critical factors controlling the performance of the MIP–AgNPs–PGE were optimized using Plackett–Burman design and central composite design methods. Under optimal conditions, a calibration curve was obtained in the range 0.1–1000 µM with a limit of detection of 6.8 nM (S/N = 3, n = 3) and limit of quantitation of 22.8 nM (S/N = 10, n = 3). RSD of 3.9 and 4.1% were obtained for repeatability and reproducibility of the system, respectively. Furthermore, the modified sensor was successfully used for the determination of MET concentration in some real samples.

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Acknowledgements

The authors acknowledge the Payame Noor University (PNU) Research Council for financial support of this work.

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Authors and Affiliations

  1. Department of Chemistry, Payame Noor University, P.O. Box 19395–4697, 19569, Tehran, Iran

    Azizollah Nezhadali & Zeinab Khalili

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  1. Azizollah Nezhadali
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  2. Zeinab Khalili
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Correspondence to Azizollah Nezhadali.

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Nezhadali, A., Khalili, Z. Computer-aided study and multivariate optimization of nanomolar metformin hydrochloride analysis using molecularly imprinted polymer electrochemical sensor based on silver nanoparticles. J Mater Sci: Mater Electron 32, 27171–27183 (2021). https://doi.org/10.1007/s10854-021-07084-x

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  • DOI: https://doi.org/10.1007/s10854-021-07084-x

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