Evidence Hub

Graphene/MWCNT/copper-nanoparticle fabricated printed electrode for diclofenac detection in milk and drinking water: Electrochemical and in-silico analysis

Sudip Das, Arghya Chakravorty, A. Nirmal Paul Raj, Sahil Luktuke, Aarcha Appu Mini, Shikha Awasthi, Siva Sankar Sana, Sarvesh Kumar Pandey et al.

Journal of Molecular Liquids, 2024

12 citations

Abstract

This study investigates the electrochemical sensing of Diclofenac sodium. A single carbon printed electrode was modified with the combination of graphene (GRP), multi-walled carbon nanotube (MWCNT), and copper-nanoparticle (CuNP) blended with oleic acid (OA) (i.e. CuNP@OA) as working electrode material of the three-electrode system (i.e. GRP-MWCNT-CuNP@OA). Here, copper nanoparticles , being responsible for catalysis, are embedded on the matrix comprising of GRP and MWCNT which serves as the conductive matrix material for electrode. The OA acts as a stabilising agent for the active CuNPs. The chemical sensitivity feature (in terms of binding interaction) of the GRP-MWCNT-CuNP@OA composite model interacting with the Diclofenac has been examined by implementing quantum chemical calculation approaches like molecular modelling, semi-empirical, QTAIM, and NCI-plot based tools. Some useful and important properties have also been examined using electronic parameters such as HOMO, LUMO, HOMO-LUMO gap, charge transfer (CT), QTAIM-based topological parameters, etc. which could indeed be helpful for the experimentalists in understanding the structural, stability/energetics, and electronic features of the probed composite models at nano-level. Further, the characterization of the composite was carried out through some sophisticated characterization techniques like scanning electron microscopy (SEM), energy dispersive x-ray spectroscopy (EDX), and powder XRD. Cyclic voltammetry (CV) is…

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free