A sensitive voltammetric sensor based on carbon nanotube/nickel nanoparticle for determination of daclatasvir (an anti-hepatitis C drug) in real samples
This work explains a simple and easily modified electrochemical sensor for sensitive detection of daclatasvir (DCV), a novel drug for the treatment of hepatitis C. In this study, DCV was oxidized at a glassy carbon electrode (GCE) surface modified with nickel nanoparticles/multi-walled carbon nanotu...
Gespeichert in:
Veröffentlicht in: | Journal of applied electrochemistry 2020-11, Vol.50 (11), p.1199-1208 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | This work explains a simple and easily modified electrochemical sensor for sensitive detection of daclatasvir (DCV), a novel drug for the treatment of hepatitis C. In this study, DCV was oxidized at a glassy carbon electrode (GCE) surface modified with nickel nanoparticles/multi-walled carbon nanotube (Ni-NPs/MWCNTs). Electrochemical studies were accomplished via cyclic voltammetry (CV) and square wave voltammetry (SWV). Elemental analysis and morphology of applied nanomaterials were characterized by energy-dispersive X-ray spectroscopy (EDX) and field emission scanning electron microscopy (FESEM), respectively. MWCNTs and Ni-NPs illustrated satisfactory synergic electrocatalytical properties in DCV oxidation, which leads to DCV sensitive detection in real samples such as tablet and human serum. The limit of detection (LOD) and linear range were 15.82 nM and 0.024–300 µM, respectively, which, in comparison to other reported studies about the determination of DCV, were satisfying results. The stability of the sensor was studied and the result was very acceptable.
Graphic abstract
A sensitive voltammetric sensor based on carbon nanotube/nickel nanoparticle nanocomposite for determination of daclatasvir (an anti-hepatitis C drug) in real samples |
---|---|
ISSN: | 0021-891X 1572-8838 |
DOI: | 10.1007/s10800-020-01478-1 |