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Reference type: Journal
Authors: Munawar A, Tahir MA, Shaheen A, Lieberzeit PA, Khan WS, Bajwa SZ
Article Title: Investigating nanohybrid material based on 3D CNTs@Cu nanoparticle composite and imprinted polymer for highly selective detection of chloramphenicol.
Publication date: 2018
Journal: Journal of Hazardous Materials
Volume: 342
Page numbers: 96-106.
DOI: 10.1016/j.jhazmat.2017.08.014
Alternative URL: https://www.researchgate.net/publication/318998067_Investigating_Nanohybrid_Material_based_on_3D_CNTsCu_Nanoparticle_Composite_and_Imprinted_Polymer_for_Highly_Selective_Detection_of_Chloramphenicol

Abstract: Nanotechnology holds great promise for the fabrication of versatile materials that can be used as sensor platforms for the highly selective detection of analytes. In this research article we report a new nanohybrid material, where 3D imprinted nanostructures are constructed. First, copper nanoparticles are deposited on carbon nanotubes and then a hybrid structure is formed by coating molecularly imprinted polymer on 3D CNTs@Cu NPs; and a layer by layer assembly is achieved. SEM and AFM revealed the presence of Cu NPs (100-500nm) anchored along the whole length of CNTs, topped with imprinted layer. This material was applied to fabricate an electrochemical sensor to monitor a model veterinary drug, chloramphenicol. The high electron transfer ability and conductivity of the prepared material produced sensitive response, whereas, molecular imprinting produces selectivity towards drug detection. The sensor responses were found concentration dependent and the detection limit was calculated to be 10 μM (S/N = 3). Finally, we showed how changing the polymer composition, the extent of cross linking, and sensor layer thickness greatly affects the number of binding sites for the recognition of drug. This work paves the way to build variants of 3D imprinted materials for the detection of other kinds of biomolecules and antibiotics
Template and target information: chloramphenicol
Author keywords: Carbon nanotubes composite, copper nanoparticles, molecularly imprinted polymer, chloramphenicol, selective detection

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