Reactive argon-plasma activation of screen-printed carbon electrodes for highly selective dopamine determination

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Publication Details

Author listSarawut Cheunkar, Sukunya Oaew, Attasith Parnsubsakul, and Piyapong Asanithid

PublisherRoyal Society of Chemistry

Publication year2022

Journal acronymAnal. Methods

Volume number14

Issue number42

Start page4193

End page4201

Number of pages9

ISSN1759-9660

eISSN1759-9679

URLhttps://pubs.rsc.org/en/content/articlelanding/2022/AY/D2AY01154A

LanguagesEnglish-United States (EN-US)


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Abstract

Dopamine (DA) deficiency has been linked to several psychiatric disorders. Electrochemical determination
of the level of DA suffers from abundant ascorbic acid (AA) and uric acid (UA) in body fluids. In this work,
a facile argon (Ar) plasma treatment was utilized to enhance the electrocatalytic reactivity of screenprinted
carbon electrodes (SPCEs) for selective DA detection. Surface characterization of the Ar-treated
SCPEs verified that the carbon paste binders were successfully removed and single-bonded oxygenated
moieties (–OH and C–O–C) were generated. Interestingly, the sharper D* and D′′ Raman interbands
were new key evidence of a higher exposure of carbon defect sites. Electrochemical studies further
revealed that the Ar-treated SPCEs possessed faster heterogeneous electron-transfer rates, larger
electroactive surface areas, and much higher conductivity when compared with untreated electrodes. As
a result, the oxidation potentials of AA, DA, and UA in the mixture could be well-resolved and the current
responses were significantly increased. The selective determination of DA in the presence of AA and UA
by differential pulse voltammetry gave two linear responses with the limit of detection of 0.27 mM (0.15–
10 mM range). Moreover, this Ar-treated SPCE had high reproducibility and good storage stability. These
results suggest that Ar-plasma treatment could be a promising method to enhance the electrocatalytic
properties of SPCEs for the detection of biomolecules.


Keywords

BiosensorsDopamineelectrochemical sensorsPlasmascreen-printed electrode


Last updated on 2023-20-09 at 07:37