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Correlative Voltammetric Microscopy: Structure-Activity Relationships in the Microscopic Electrochemical Behavior of Screen Printed Carbon Electrodes.
2019 (English)In: ACS sensors, ISSN 2379-3694Article in journal (Refereed) Published
Abstract [en]

Screen-printed carbon electrodes (SPCEs) are widely used for electrochemical sensors. However, little is known about their electrochemical behavior at the microscopic level. In this work, we use voltammetric scanning electrochemical cell microscopy (SECCM), with dual-channel probes, to determine the microscopic factors governing the electrochemical response of SPCEs. SECCM cyclic voltammetry (CV) measurements are performed directly in hundreds of different locations of SPCEs, with high spatial resolution, using a sub-µm sized probe. Further, the localized electrode activity is spatially-correlated to co-located surface structure information from scanning electron microscopy and micro-Raman spectroscopy. This approach is applied to two model electrochemical processes: hexaammineruthenium (III/II) ([Ru(NH3)6]3+/2+), a well-known outer-sphere redox couple; and dopamine (DA) which undergoes a more complex electron-proton coupled electro-oxidation, with complications from adsorption of both DA and side-products. The electrochemical reduction of [Ru(NH3)6]3+ proceeds fairly uniformly across the surface of SPCEs on the sub-µm scale. In contrast, DA electro-oxidation shows a strong dependence on the microstructure of the SPCE. By studying this process at different concentrations of DA, the relative contributions of (i) intrinsic electrode kinetics and (ii) adsorption of DA are elucidated in detail, as a function of local electrode character and surface structure. These studies provide major new insights on the electrochemical activity of SPCEs and further position voltammetric SECCM as a powerful technique for the electrochemical imaging of complex, heterogeneous and topographically rough electrode surfaces.

Place, publisher, year, edition, pages
2019.
National Category
Physical Chemistry Analytical Chemistry
Identifiers
URN: urn:nbn:se:kth:diva-255718DOI: 10.1021/acssensors.9b01021ISI: 000483440000027PubMedID: 31353890Scopus ID: 2-s2.0-85071224853OAI: oai:DiVA.org:kth-255718DiVA, id: diva2:1341512
Note

QC 20190902

Available from: 2019-08-08 Created: 2019-08-08 Last updated: 2019-09-27Bibliographically approved

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Martín-Yerga, Daniel

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CiteExportLink to record
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