NDLI: Efficient electrochemical biosensors for ethynylestradiol based on the laccase enzyme supported on single walled carbon nanotubes decorated with nanocrystalline carbon quantum dots

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Efficient electrochemical biosensors for ethynylestradiol based on the laccase enzyme supported on single walled carbon nanotubes decorated with nanocrystalline carbon quantum dots

Content Provider	Royal Society of Chemistry (RSC)
Author	Nakamura, M. Toma, H. E. Machado, S. A. S. Canevari, T. C. Cincotto, F. H.
Copyright Year	2016
Abstract	A new hybrid nanomaterial based on single-walled carbon nanotubes incorporating nanocrystalline carbon quantum dots (SWCNT/C-dots) was developed and characterized by means of high resolution transmission electron microscopy, atomic force microscopy, Raman spectroscopy and electrochemical techniques. A glassy carbon electrode modified with SWCNT/C-dots exhibited an enhanced electrocatalytic response for 17α-ethynylestradiol, reflecting an increase of the active area of the hybrid material, promoted by the C-dots. However, the best activity was observed for laccase immobilized on CGE/SWCNT/C-dots, suggesting that the nanocrystalline C-dots improve the electron transport between the substrate, SWCNTs and the copper ions in the enzyme active sites. Such an association provided a very efficient bioelectrochemical sensor for the 17α-ethynylestradiol endocrine interfering agent, with a detection limit of 4.0 nmol L−1 in real samples.
Starting Page	7254
Ending Page	7259
Page Count	6
File Format	HTM / HTML PDF
ISSN	17599660
Volume Number	8
Issue Number	39
Journal	Analytical Methods
DOI	10.1039/c6ay02178f
Language	English
Publisher	Royal Society of Chemistry
Access Restriction	Open
Subject Keyword	Electrode Enzyme Endocrine system Bioelectrochemistry Carbon quantum dots Raman spectroscopy Carbon Carbon nanotube Transmission electron microscopy Atomic-force microscopy Electrochemistry Raman Copper Laccase
Content Type	Text
Resource Type	Article
Subject	Analytical Chemistry Engineering Chemical Engineering

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