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Hydrothermal Growth of CuO Nanoleaf Structures, and Their Mercuric Ion Detection Application
Linköping University, Department of Science and Technology, Physics and Electronics. Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Physics and Electronics. Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Physics and Electronics. Linköping University, The Institute of Technology.ORCID iD: 0000-0001-6235-7038
2014 (English)In: Journal of Nanoscience and Nanotechnology, ISSN 1533-4880, E-ISSN 1533-4899, Vol. 14, no 9, 6711-6717 p.Article in journal (Refereed) Published
Abstract [en]

Mercury is the hazardous heavy metal ion for the environment and the humanbeing therefore its determination is very important and herein we describe the development of mercury ion sensor on the CuO nanoleaf like nanostructures using cetyltrimethylammonium bromide (CTAB) surfactant as template for the growth by hydrothermal growth method. Scanning electron microscopy and X-ray diffraction study has shown high density and good crystal quality of the fabricated CuO nanostructures respectively. The presented mercury ion sensor has detected the wide range of 1.0 x 10(-7) to 1.0 x 10(-1) M mercury ion concentrations with an acceptable Nernstian behaviour and a sensitivity of 30.1 +/- 0.6 mV/decade. The proposed mercury ion sensor exhibited low detection limit of 1.0 x 10(-8) M and also a fast response time of less than 5 s. In addition, the presented mercury ion sensor has shown an excellent repeatability, reproducibility, stability and selectivity. Moreover, the mercury ion selective electrode based on CuO nanoleaves was tested as an indicator electrode in the potentiometric titration.

Place, publisher, year, edition, pages
American Scientific Publishers, 2014. Vol. 14, no 9, 6711-6717 p.
Keyword [en]
CuO Nanoleaf; Mercury Ion Sensor; Ion Selective Electrode; Potentiometric Technique; Output Response
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-107435DOI: 10.1166/jnn.2014.9342ISI: 000335873900030OAI: oai:DiVA.org:liu-107435DiVA: diva2:724343
Available from: 2014-06-12 Created: 2014-06-12 Last updated: 2017-12-05Bibliographically approved

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Ibupoto, Zafar HussainKhun, KimleangWillander, Magnus

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