Synthesis of Novel CuO Nanosheets and Their Non-Enzymatic Glucose Sensing Applications

In this study, we have developed a sensitive and selective glucose sensor using novel CuO nanosheets which were grown on a gold coated glass substrate by a low temperature growth method. X-ray differaction (XRD) and scanning electron microscopy (SEM) techniques were used for the structural character...

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Main Authors: Ibupoto, Zafar Hussain, Khun, Kimleang, Beni, Valerio, Liu, Xianjie, Willander, Magnus
Format: Online
Language:English
Published: Molecular Diversity Preservation International (MDPI) 2013
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715261/
id pubmed-3715261
recordtype oai_dc
spelling pubmed-37152612013-07-24 Synthesis of Novel CuO Nanosheets and Their Non-Enzymatic Glucose Sensing Applications Ibupoto, Zafar Hussain Khun, Kimleang Beni, Valerio Liu, Xianjie Willander, Magnus Article In this study, we have developed a sensitive and selective glucose sensor using novel CuO nanosheets which were grown on a gold coated glass substrate by a low temperature growth method. X-ray differaction (XRD) and scanning electron microscopy (SEM) techniques were used for the structural characterization of CuO nanostructures. CuO nanosheets are highly dense, uniform, and exhibited good crystalline array structure. X-ray photoelectron spectroscopy (XPS) technique was applied for the study of chemical composition of CuO nanosheets and the obtained information demonstrated pure phase CuO nanosheets. The novel CuO nanosheets were employed for the development of a sensitive and selective non-enzymatic glucose sensor. The measured sensitivity and a correlation coefficient are in order 5.20 × 102 μA/mMcm2 and 0.998, respectively. The proposed sensor is associated with several advantages such as low cost, simplicity, high stability, reproducibility and selectivity for the quick detection of glucose. Molecular Diversity Preservation International (MDPI) 2013-06-20 /pmc/articles/PMC3715261/ /pubmed/23787727 http://dx.doi.org/10.3390/s130607926 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Ibupoto, Zafar Hussain
Khun, Kimleang
Beni, Valerio
Liu, Xianjie
Willander, Magnus
spellingShingle Ibupoto, Zafar Hussain
Khun, Kimleang
Beni, Valerio
Liu, Xianjie
Willander, Magnus
Synthesis of Novel CuO Nanosheets and Their Non-Enzymatic Glucose Sensing Applications
author_facet Ibupoto, Zafar Hussain
Khun, Kimleang
Beni, Valerio
Liu, Xianjie
Willander, Magnus
author_sort Ibupoto, Zafar Hussain
title Synthesis of Novel CuO Nanosheets and Their Non-Enzymatic Glucose Sensing Applications
title_short Synthesis of Novel CuO Nanosheets and Their Non-Enzymatic Glucose Sensing Applications
title_full Synthesis of Novel CuO Nanosheets and Their Non-Enzymatic Glucose Sensing Applications
title_fullStr Synthesis of Novel CuO Nanosheets and Their Non-Enzymatic Glucose Sensing Applications
title_full_unstemmed Synthesis of Novel CuO Nanosheets and Their Non-Enzymatic Glucose Sensing Applications
title_sort synthesis of novel cuo nanosheets and their non-enzymatic glucose sensing applications
description In this study, we have developed a sensitive and selective glucose sensor using novel CuO nanosheets which were grown on a gold coated glass substrate by a low temperature growth method. X-ray differaction (XRD) and scanning electron microscopy (SEM) techniques were used for the structural characterization of CuO nanostructures. CuO nanosheets are highly dense, uniform, and exhibited good crystalline array structure. X-ray photoelectron spectroscopy (XPS) technique was applied for the study of chemical composition of CuO nanosheets and the obtained information demonstrated pure phase CuO nanosheets. The novel CuO nanosheets were employed for the development of a sensitive and selective non-enzymatic glucose sensor. The measured sensitivity and a correlation coefficient are in order 5.20 × 102 μA/mMcm2 and 0.998, respectively. The proposed sensor is associated with several advantages such as low cost, simplicity, high stability, reproducibility and selectivity for the quick detection of glucose.
publisher Molecular Diversity Preservation International (MDPI)
publishDate 2013
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715261/
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