Skip to main content
Log in

Nanomolar detection of lansoprazole: computational–assisted to monomer–templet complex study based on molecularly imprinted polymer and electrochemical determination

  • Original Paper
  • Published:
Chemical Papers Aims and scope Submit manuscript

Abstract

Herein, a sensitive electrochemical sensor based on a molecularly imprinted polymer (MIP) was developed to measure the lansoprazole (LNS). The most suitable monomer was chosen by a computational method. A cyclic voltammetry technique was used to synthesize the sensor by electro-polymerization of pyrrole on a pencil graphite electrode in the presence of a template molecule. The differential pulse voltammetry technique was performed for all measurements. The characterization of the modified sensor was investigated by scanning electron microscopy. To optimize the critical factors, the Plackett–Burman design and central composite design methods were done. Linear range of 10–1000 µM and correlation coefficients (R2) of 0.9846 were obtained by plotting the calibration curve under optimal conditions. The limit of detection and the limit of quantitation were determined as 0.031 μM (S/N = 3) and 0.075 μM (S/N = 10), respectively. Finally, the proposed sensor was successfully applied to LNS determination in capsule and serum samples.

Graphic abstract

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Scheme 1
Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

Download references

Acknowledgements

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

Funding

No funds, grants, or other support was received.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zeinab Khalili.

Ethics declarations

Conflict of interest

The authors have no relevant financial or non-financial interests to disclose.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Khalili, Z., Nezhadali, A. Nanomolar detection of lansoprazole: computational–assisted to monomer–templet complex study based on molecularly imprinted polymer and electrochemical determination. Chem. Pap. 76, 1185–1198 (2022). https://doi.org/10.1007/s11696-021-01933-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11696-021-01933-z

Keywords

Navigation