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Dopamine wide range detection sensor based on modified Co3O4 nanowires electrode
Linköping University, Department of Science and Technology. 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 Physics, Chemistry and Biology, Surface Physics and Chemistry. Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Physics and Electronics. Linköping University, The Institute of Technology.
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2014 (English)In: Sensors and actuators. B, Chemical, ISSN 0925-4005, E-ISSN 1873-3077, Vol. 203, 543-549 p.Article in journal (Refereed) Published
Abstract [en]

Ultra-thin cobalt oxide (Co3O4) nanowires grown on gold coated glass substrates by the hydrothermal chemical deposition and have been used as a wide range dopamine potentiometric sensor. An anionic surfactant ( sodium dodecylbenzenesulfonate) was used to achieve assisted growth procedure. Moreover, a polymeric membrane containing polyvinyl chloride as plasticized polymer, p-cyclodextrin as ionophore, and potassium tetrakis (4-chlorophenyl) borate as ionic additive were immobilized on the Co3O4 nanostructures through electrostatic adsorption method. X-ray diffraction, X-ray photoelectron spectroscopy, and scanning electron microscopy were used to characterize the electrodes while ultraviolet-visible absorption was used to investigate the band gap of the Co3O4 nanostructures. The structural characterization showed a cubic crystalline, pure phase, and nanowires morphology of the Co3O4. However, the morphology is altered when the surfactant concentration has been changed. The Co3O4 chemical modified electrodes were used in potentiometric measurements for dopamine in a 10(-2) M acetic acid/sodium acetate solution having a pH of 5.45. For dopamine range from 10(-9) M to 10(-2) M, the potential response of the sensor electrode was linear with a slope of 52 mV/decade. The wide range and high sensitivity of the modified Co3O4 nanowires based sensor for dopamine is attributed to the defects on the metal oxide that is dictated by the used surfactant along with the high surface area-to-volume ratio.

Place, publisher, year, edition, pages
Elsevier, 2014. Vol. 203, 543-549 p.
Keyword [en]
Potentiometric sensor; Chemically modified electrode; Surfactant; Dopamine chemical sensor
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Physical Sciences
Identifiers
URN: urn:nbn:se:liu:diva-111254DOI: 10.1016/j.snb.2014.07.028ISI: 000341455400072OAI: oai:DiVA.org:liu-111254DiVA: diva2:755612
Available from: 2014-10-15 Created: 2014-10-14 Last updated: 2017-12-05Bibliographically approved
In thesis
1. Chemically Modified Metal Oxide Nanostructures Electrodes for Sensing and Energy Conversion
Open this publication in new window or tab >>Chemically Modified Metal Oxide Nanostructures Electrodes for Sensing and Energy Conversion
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The goal of this thesis is the development of scalable, low cost synthesis of metal oxide nanostructures based electrodes and to correlate the chemical modifications with their energy conversion performance. Methods in energy conversion in this thesis have focused on two aspects; a potentiometric chemical sensor was used to determine the analytical concentration of some components of the analyte solution such as dopamine, glucose and glutamate molecules. The second aspect is to fabricate a photo-electrochemical (PEC) cell. The biocompatibility, excellent electro-catalytic activities and fast electron transfer kinetics accompanied with a high surface area to volume ratio; are properties of some metal oxide nanostructures that of a potential for their use in energy conversion. Furthermore, metal oxide nanostructures based electrode can effectively be improved by the physical or a chemical modification of electrode surface. Among these metal oxide nanostructures are cobalt oxide (Co3O4), zinc oxide (ZnO), and bismuth-zincvanadate (BiZn2VO6) have all been studied in this thesis. Metal oxide nanostructures based electrodes are fabricated on gold-coated glass substrate by low temperature (< 100 0C) wet chemicalapproach. X-ray diffraction, x-ray photoelectron spectroscopy and scanning electron microscopy were used to characterize the electrodes while ultraviolet-visible absorption and photoluminescence were used to investigate the optical properties of the nanostructures. The resultant modified electrodes were tested for their performance as chemical sensors and for their efficiency in PEC activities. Efficient chemically modified electrodes were demonstrated through doping with organic additives like anionic, nonionic or cationic surfactants. The organic additives are showing a crucial role in the growth process of metal oxide nanocrystals and hence can beused to control the morphology. These organic additives act also as impurities that would significantly change the conductivity of the electrodes. However, no organic compounds dependence was observed to modify the crystallographic structure. The findings in this thesis indicate the importance of the use of controlled nanostructures morphology for developing efficient functional materials.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2017. 73 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1827
Keyword
Metal oxide nanostructures, mixed metal oxide nano-compound, low temperature wet-chemical growth, chemically modified electrode, doping, surfactant, potentiometric sensor, chemical sensor and photo-electrochemical activity
National Category
Materials Chemistry Inorganic Chemistry Other Chemical Engineering Analytical Chemistry
Identifiers
urn:nbn:se:liu:diva-134275 (URN)10.3384/diss.diva-134275 (DOI)9789176855904 (ISBN)
Public defence
2017-03-03, Sal K3, Kåkenhus, Campus Norrköping, Norrköping, 10:15 (English)
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Supervisors
Available from: 2017-02-02 Created: 2017-02-02 Last updated: 2017-02-09Bibliographically approved

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Elhag, SamiIbupoto, Zafar HussainLiu, XianjieNur, OmerWillander, Magnus

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