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In-situ growth of NiWO4 saw-blade-like nanostructures and their application in photo-electrochemical (PEC) immunosensor system designed for the detection of neuron-specific enolase
Univ Sindh, Pakistan; Beijing Univ Chem Technol, Peoples R China; Univ Bristol, England.
Shah Abdul Latif Univ Khairpur, Pakistan.
Selcuk Univ, Turkey.
Selcuk Univ, Turkey.
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2019 (English)In: Biosensors & bioelectronics, ISSN 0956-5663, E-ISSN 1873-4235, Vol. 141, article id UNSP 111331Article in journal (Refereed) Published
Abstract [en]

This study describes the construction of highly-sensitive photo-electrochemical (PEC) immunosensor for the detection of neuron-specific enolase (NSE). The biosensing platform is comprised of photo-active NiWO4 nanostructures, in-situ-grown over a conductive substrate (indium tin oxide) using a low-temperature template-based co-precipitation approach. The discussed approach enables the formation of discrete, yet morphologically-analogous, nanostructures with complete coverage (pinhole-free) of the electrode surface. The in-situ-grown nanostructure possess dense population with sharp saw-blade like morphological features that can support substantial immobilisation of anti-NSE agent. The constructed platform demonstrated excellent photo-catalytic activity towards uric acid (UA) which served as the base for the Electrochemical -mechanism (EC) based PEC inhibition sensing. The detection of NSE, relied on its obstruction in analytical signal observed for the photo-oxidation of UA after binding to the electrode surface via protein-antibody interaction. The constructed PEC immunosensor exhibits signal sensitivity up to 0.12 ng mL(-1) of NSE with excellent signal reproducibility and electrode replicability. Moreover, the constructed platform was successfully used for NSE determination in human serum samples.

Place, publisher, year, edition, pages
ELSEVIER ADVANCED TECHNOLOGY , 2019. Vol. 141, article id UNSP 111331
Keywords [en]
NiWO4 nanostructures; Neuron-specific enolase; Indium tin oxide electrode; Biosensor
National Category
Analytical Chemistry
Identifiers
URN: urn:nbn:se:liu:diva-161149DOI: 10.1016/j.bios.2019.111331ISI: 000486132800032PubMedID: 31233985OAI: oai:DiVA.org:liu-161149DiVA, id: diva2:1365779
Available from: 2019-10-25 Created: 2019-10-25 Last updated: 2019-10-25

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