4.7 Article

A Selective Electrochemical Sensor Based on a Modified-Glassy Carbon Electrode Using f-MWCNTs-Polydopamine for Ciprofloxacin Detection

Journal

IEEE SENSORS JOURNAL
Volume 21, Issue 18, Pages 19714-19721

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2021.3100251

Keywords

Electrochemical sensor; electropolymerization; ciprofloxacin; f-MWCNTs; polydopamine

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An electrochemical sensor was developed for ciprofloxacin detection, utilizing a modified-glassy carbon electrode with f-MWCNTs and dopamine. Various techniques were employed to investigate the prepared catalyst features, and parameters affecting the sensor's selectivity and sensitivity were optimized through DPV technique. The sensor exhibited excellent detection performance and selectivity for ciprofloxacin in clinical and industrial applications, with desirable results in human plasma and urine samples.
An electrochemical sensor was designed and prepared based on a modified-glassy carbon electrode using f-MWCNTs and dopamine. The dopamine is electropolymerized to form a layer of polydopamine on the surface of functionalized carbon nanotubes. Various techniques, including FE-SEM, EDS, elemental mapping, FT-IR, AFM, XRD, and Raman spectroscopy, were used to investigate different prepared catalyst features. Using cyclic voltammetry and EIS techniques, the proposed sensor's potency for ciprofloxacin detection was examined and proved. In the next step, in the DPV technique, different parameters affecting the selectivity and the sensitivity of detection, including pH, pre-concentration potential and time, MWCNTs suspension drop size, and cycle number in the electropolymerization stage, were optimized. Two linear dynamic ranges from 0.075 to 10 mu M and from 10 to 100 mu M were obtained for ciprofloxacin detection in the optimum condition and using the DPV technique. The detection limit was calculated to be 0.04 mu M, and repeatability and reproducibility were found to be 3.2 and 3.3%, respectively. Afterward, the sensor's selectivity against common interfering agents was checked out, and the sensor proved to be highly selective for ciprofloxacin detection. Ciprofloxacin was determined in human plasma and urine samples with desired results at the final stage. The sensor proved to be a trustable tool for ciprofloxacin measurement in clinical and industrial applications.

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