Electrochemical sensing of dopamine via bio-assisted synthesized silver nanoparticles
- National Centre of Excellence in Analytical Chemistry, University of Sindh, Jamshoro, 76080, PK
- Department of Chemistry, College of Science, King Saud University, Riyadh, 11451, SA
- International Center for Chemical and Biological Sciences, HEJ Research Institute of Chemistry, University of Karachi, Karachi, 75270, PK
- Institute of Microbiology, University of Sindh, Jamshoro, 76080, PK
Published in Issue 2021-04-24
How to Cite
Memon, R., Memon, A. A., Nafady, A., Sirajuddin, ., Sherazi, S. T. H., Balouch, A., Memon, K., Brohi, N. A., & Najeeb, A. (2021). Electrochemical sensing of dopamine via bio-assisted synthesized silver nanoparticles. International Nano Letters, 11(3 (September 2021). https://doi.org/10.1007/s40089-021-00339-9
Abstract
Abstract A simple, environment-friendly, cost-effective procedure is proposed for the synthesis of silver nanoparticles (AgNPs) using aqueous leaf extract of Ziziphus mauritiana ( Zm L) as reducing as well as stabilizing agent and its application on glassy carbon electrode (GCE) for the detection of dopamine by cyclic voltammetry (CV). Results showed a substantial enhancement of peak current using Ag@GCE as compared to bare-GCE for the detection of neurotransmitter dopamine. The synthesized Zm L-AgNPs were characterized using ultraviolet–visible (UV–Vis) spectroscopy, Fourier transform infra-red (FT-IR) spectroscopy, X-ray diffraction (XRD) and atomic force microscopy (AFM). We investigated the electrochemical responses of both bare-GCE and Ag-assembled GCE using cyclic voltammetry to delineate the performance enhancement due to Zm L-AgNPs. The present Zm L-AgNP-assembled GCE displayed very high sensitivity and selectivity with excellent linear calibration range 10–100 µM for detection of dopamine with a limit of detection and limit of quantification values 0.1 and 0.3 µM, respectively. The sensor was successfully applied for dopamine detection in real urine samples.Keywords
- Biosynthesis,
- Silver nanoparticles,
- Plant extract,
- Dopamine detection,
- Urine samples
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