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  4. Facile stoichiometric interfacial surface bonded cerium oxide and graphene oxide heterostructure for efficient electrochemical non-enzymatic detection of dopamine
 
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Facile stoichiometric interfacial surface bonded cerium oxide and graphene oxide heterostructure for efficient electrochemical non-enzymatic detection of dopamine

Journal
Journal of Materials Chemistry B
ISSN
2050-750X
2050-7518
Date Issued
2024
Author(s)
Hemarani Annadurai
Renganathan Vengudusamy
Shen-Ming Chen
C. ROBERT KAO  
DOI
10.1039/d4tb01729c
DOI
10.1039/d4tb01729c
URI
https://www.scopus.com/record/display.uri?eid=2-s2.0-85203186809&origin=resultslist
https://scholars.lib.ntu.edu.tw/handle/123456789/721672
Abstract
Emerging technology in the new era of sensors to detect and quantify neurological reaction-based research has demanded the development of sensors for the neurotransmitter dopamine (DA). In recent decades, electrochemical sensors have offered rapid and sensitive detection of DA, but the presence of interfering compounds, such as uric acid (UA) and ascorbic acid (AA), poses a great threat to the development of DA sensors. Additionally, reusing traditional methods leads to challenges like prolonged preparation and expensive instruments. This research work offers a nanohybrid two-dimensional (2D) paper-like graphene oxide (GO) and three-dimensional (3D) cerium oxide nanosphere (CeONS) heterostructure composite (G-CeONS) created via stoichiometric synthesis for the non-enzymatic detection of DA oxidation in the presence of other complex biological compounds. The constructed G-CeONS nanohybrid composite enables enhanced selectivity and sensitivity towards DA detection through its interfacial engineering. The heterostructure formation of a 2D nanosheet draped over 3D nanospheres exhibits a wide linear concentration range of 100-30 800 nM with a low detection limit of 20.98 nM. Further investigation of the real-time performance on human saliva and DA injections afforded prominent results. In addition, the synergetic effect of G-CeONS improves DA detection accuracy and reliability towards enabling transformational neurochemical and medicinal applications.
Publisher
Royal Society of Chemistry (RSC)
Type
journal article

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