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AuthorAshok, Anchu
AuthorKumar, Anand
AuthorTarlochan, Faris
Available date2020-05-14T09:55:41Z
Publication Date2019
Publication NameApplied Surface Science
ResourceScopus
ISSN1694332
URIhttp://dx.doi.org/10.1016/j.apsusc.2019.03.157
URIhttp://hdl.handle.net/10576/14797
AbstractIn this work, copper nanoparticles using three different modes are synthesized and evaluated for electrochemical properties towards non-enzymatic glucose biosensors. Copper oxide nanoparticles thus obtained are characterized using X-ray diffractometer (XRD), Scanning Electron Microscope (SEM), transmission electron microscopy (TEM) and UV–Vis for their crystallinity, morphology and optical properties. The nanoparticles obtained using colloidal method (Cu-Colloid) give uniform phase of CuO and flower shaped morphology. The nanoparticles synthesized using solution combustion method with glycine (Cu-Gly) and hydrazine (Cu-Hyd) as fuel provide particles of irregular round shape and small flake-like structures respectively. The glucose electro oxidative current is highest for Cu-Colloid catalysts and could be due to the higher area of contact of the catalyst surface with the glucose. Cu-colloid particles with flower shaped morphology give wide linear response in the range of 1 μM to 850 μM along with the lowest limit of detection of 0.25 μM and highest sensitivity of 2062 μA mM−1 cm−2. Cu-Colloid catalyst show poor response on the presence of co-existing species on the blood sample when compared to its sensitivity towards glucose. The time response of Cu-Colloid particles for glucose detection is the least when compared to other two nanoparticles. Also, the Cu-Colloid particles show excellent reproducibility and stability that makes it a promising electrode for the non-enzymatic glucose bio-sensors.
Languageen
PublisherElsevier B.V.
SubjectColloidal synthesis
CuO
Glucose sensor materials
Non-enzymatic sensors
Solution combustion synthesis
TitleHighly efficient nonenzymatic glucose sensors based on CuO nanoparticles
TypeArticle
Pagination712-722
Volume Number481
dc.accessType Abstract Only


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