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Facile and ultra-sensitive voltammetric electrodetection of Hg 2+ in aqueous media using electrodeposited AuPtNPs/ITO
In this study, we have investigated the use of electrodeposited Au–Pt nanoparticles (AuPtNPs) on indium tin oxide (ITO) for the detection of Hg 2+ heavy ions in water samples. The mechanism of AuPtNP electrocrystallization on ITO glass in an aqueous solution containing 0.5 mM HAuCl 4 + 0.5 mM H 2 Pt...
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Published in: | Analytical methods 2021-06, Vol.13 (24), p.2688-2700 |
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Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In this study, we have investigated the use of electrodeposited Au–Pt nanoparticles (AuPtNPs) on indium tin oxide (ITO) for the detection of Hg
2+
heavy ions in water samples. The mechanism of AuPtNP electrocrystallization on ITO glass in an aqueous solution containing 0.5 mM HAuCl
4
+ 0.5 mM H
2
PtCl
6
is described for the first time. The nucleation mechanism of monometallic AuNPs on ITO was found to be progressive; however, a transition from progressive to instantaneous was observed for bimetallic AuPtNPs at elevated overpotentials. The modified ITOs were then assessed for the electrodetection of Hg
2+
in aqueous media. It was shown by differential pulse voltammetry (DPV) that the sensitivity of the constructed AuPtNPs/ITO electrode toward Hg
2+
was about 2.08 μA nM
−1
. An approximate detection limit of 4.03 nM Hg
2+
was achieved, which is below the permissible level of 30.00 nM Hg
2+
in drinking water, according to the World Health Organization (WHO). Characterization of AuPt nanostructures was carried out by X-ray diffraction (XRD) patterns, scanning electron microscopy (SEM), and different electrochemical techniques (cyclic voltammetry (CV), chronoamperometry, and electrochemical impedance spectroscopy (EIS)). Our results indicate a good potential of a facile and robust electrochemical assembly for on-site detection of heavy metals in water samples. |
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ISSN: | 1759-9660 1759-9679 |
DOI: | 10.1039/D1AY00361E |