Sookhakian, Mehran and Teridi, Mohd Asri Mat and Tong, Goh Boon and Woi, Pei Meng and Khalil, Munawar and Alias, Yatimah (2021) Reduced graphene oxide/copper nanoparticle composites as electrochemical sensor materials for nitrate detection. ACS Applied Nano Materials, 4 (11). pp. 12737-12744. ISSN 2574-0970, DOI https://doi.org/10.1021/acsanm.1c03351.
Full text not available from this repository.Abstract
An efficient electrochemical nitrate (NO3-) sensor consisting of a copper nanoparticle-reduced graphene oxide composite (Cu-rGO) with different rGO loadings was fabricated on indium tin oxide glass (ITO) by simple one-pot electrochemical deposition. The one-pot electrochemical deposition allows for the formation of Cu nanoparticles, reduction of graphene oxide, and decoration of Cu nanoparticles onto the rGO surface simultaneously. The as-electrochemically deposited Cu-rGO-modified ITO electrode was characterized using X-ray diffraction, transmission electron microscopy, and X-ray photoelectron spectroscopy. The effect of rGO on the electrocatalytic activity of the Cu-rGO-modified ITO electrode toward NO3- reduction was investigated. The Cu-rGO composite with 0.5 mg mL(-1) rGO loading shows better sensitivity, a lower detection limit, and a wide linear detection range. Finally, the Cu-rGO-modified ITO electrode with 0.5 mg mL(-1) rGO loading was used to measure nitrate in real samples.
| Item Type: | Article |
|---|---|
| Funders: | AUA-UAE Joint Research Grant Project[IF016-2021], AUA-UAE Joint Research Grant Project[G00003485], Indonesian Ministry of Research and Technology/National Research and Innovation Agency through Hibah Penelitian Dasar Unggulan Perguruan Tinggi (PDUPT) 2021[NKB-177/UN2.RST/HKP.05.00/2021] |
| Uncontrolled Keywords: | Copper nanoparticles;Reduced graphene oxide;Electrodeposition;Nitrate sensor;Acidic medium |
| Subjects: | Q Science > QC Physics Q Science > QD Chemistry |
| Divisions: | Faculty of Science |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 17 Oct 2022 02:12 |
| Last Modified: | 17 Oct 2022 02:12 |
| URI: | http://eprints.um.edu.my/id/eprint/35302 |
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