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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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 13; no. 6; pp. 7926 - 7938
Main Authors Ibupoto, Zafar Hussain, Khun, Kimleang, Beni, Valerio, Liu, Xianjie, Willander, Magnus
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 20.06.2013
Molecular Diversity Preservation International (MDPI)
Subjects
Acids
Biosensing Techniques
Copper
Copper - chemistry
CuO nanosheets
Electrochemical Techniques
Electrodes
Enzymes
Glass substrates
Glucose
Glucose - analysis
Gold
Gold - chemistry
hydrothermal growth method
Morphology
Nanomaterials
Nanoparticles
Nanostructures - chemistry
Nanostructures - ultrastructure
Nanowires
non-enzymatic glucose sensor
Oxidation
Photoelectron Spectroscopy
Reproducibility
Scanning electron microscopy
selectivity
Sensors
TECHNOLOGY
TEKNIKVETENSKAP
Temperature
Toxicity
Sweden
selectivity
CuO nanosheets
non-enzymatic glucose sensor
reproducibility
hydrothermal growth method
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s130607926