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An amperometric sensitive dopamine biosensor based on novel copper oxide nanostructures
University of Sindh, Pakistan.
King Saud University, Saudi Arabia; Sohag University, Egypt.
University of Sindh, Pakistan.
University of Sindh, Pakistan.
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2017 (English)In: Microsystem Technologies: Micro- and Nanosystems Information Storage and Processing Systems, ISSN 0946-7076, E-ISSN 1432-1858, Vol. 23, no 5, 1229-1235 p.Article in journal (Refereed) Published
Abstract [en]

It is highly important to explore the influence of counter anions on the morphology in order to have a desired nanostructure with unique properties. Therefore, in this research work the influence of counter anions on the morphology of copper oxide (CuO) nanostructures is presented using copper chloride and copper acetate salts. A significant role of counter anions on the morphology of CuO nanostructures is observed. The hydrothermal method is used to carry out the synthesis of CuO nanomaterial. The prepared CuO nanostructures are characterized by scanning electron microscopy and X-ray diffraction techniques. The prepared CuO nanomaterial exhibits porous nature with thin nanowires and sponge like morphologies. The dopamine sensing application was carried for exploring the electrocatalytic properties of CuO nanostructures. The presented dopamine biosensor exhibited wide linear range for detection of dopamine from 5 to 40 A mu M with sensitivity of 12.8 A mu A mM(-1) cm(-2). The limit of detection and limit of quantification were estimated in order 0.11 and 0.38 A mu M respectively. The developed dopamine biosensor is highly sensitive, selective, stable and reproducible. The common interfering species such as glucose, ascorbic acid and uric acid showed negligible change in the current when same concentration of dopamine and these interfering species was used. The fabricated biosensor could be used for the determination of dopamine from real blood samples.

Place, publisher, year, edition, pages
SPRINGER , 2017. Vol. 23, no 5, 1229-1235 p.
National Category
Analytical Chemistry
Identifiers
URN: urn:nbn:se:liu:diva-137600DOI: 10.1007/s00542-015-2805-zISI: 000400083300015OAI: oai:DiVA.org:liu-137600DiVA: diva2:1105258
Conference
3rd International Conference of Smart Systems Engineering (SmaSys)
Note

Funding Agencies|King Saud University [RGP-VPP-236]

Available from: 2017-06-02 Created: 2017-06-02 Last updated: 2017-06-02

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Willander, Magnus
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Physics and ElectronicsFaculty of Science & Engineering
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • Other style
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