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Plasma-treated gold microelectrodes for subsecond detection of Zn(II) with fast-scan cyclic voltammetry.
- Source :
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The Analyst [Analyst] 2024 Sep 09; Vol. 149 (18), pp. 4643-4652. Date of Electronic Publication: 2024 Sep 09. - Publication Year :
- 2024
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Abstract
- The sensitivity of zinc (Zn(II)) detection using fast-scan cyclic voltammetry (FSCV) with carbon fiber microelectrodes (CFMEs) is low compared to other neurochemicals. We have shown previously that Zn(II) plates to the surface of CFME's and we speculate that it is because of the abundance of oxide functionality on the surface. Plating reduces sensitivity over time and causes significant disruption to detection stability. This limited sensitivity and stability hinders Zn(II) detection, especially in complex matrices like the brain. To address this, we developed plasma-treated gold fiber microelectrodes (AuMEs) which enable sensitive and stable Zn(II) detection with FSCV. Typically, gold fibers are treated using corrosive acids to clean the surface and this step is important for preparing the surface for electrochemistry. Likewise, because FSCV is an adsorption-based technique, it is also important for Zn(II) to adsorb and desorb to prevent irreversible plating. Because of these requirements, careful optimization of the electrode surface was necessary to render the surface for Zn(II) adsorption yet strike a balance between attraction to the surface vs. irreversible interactions. In this study, we employed oxygen plasma treatment to activate the gold fiber surface without inducing significant morphological changes. This treatment effectively removes the organic layer while functionalizing the surface with oxygen, enabling Zn(II) detection that is not possible on untreated gold surfaces. Our results demonstrate significantly improved Zn(II) detection sensitivity and stability on AuME compared to CFME's. Overall, this work provides an advance in our understanding of Zn(II) electrochemistry and a new tool for improved metallotransmitter detection in the brain.
Details
- Language :
- English
- ISSN :
- 1364-5528
- Volume :
- 149
- Issue :
- 18
- Database :
- MEDLINE
- Journal :
- The Analyst
- Publication Type :
- Academic Journal
- Accession number :
- 39136087
- Full Text :
- https://doi.org/10.1039/d4an00307a