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Fitting kinetics from scanning electrochemical microscopy images of finite circular features

Par Conseil national de recherches du Canada

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DOITrouver le DOI : https://doi.org/10.1021/acs.analchem.2c02681
AuteurRechercher : ; Rechercher : Identifiant ORCID : https://orcid.org/0000-0002-3193-0003; Rechercher : 1; Rechercher : Identifiant ORCID : https://orcid.org/0000-0003-4752-7507
Affiliation
  1. Conseil national de recherches du Canada. Automobile et les transports de surface
Bailleur de fondsRechercher : National Research Council of Canada; Rechercher : Office of Energy Research and Development; Rechercher : Natural Sciences and Engineering Research Council of Canada
FormatTexte, Article
Sujetalgorithms; electrodes; kinetic parameters; kinetics; surface reaction kinetics
Résumé
Scanning electrochemical microscopy (SECM) is a powerful technique for imaging the electrochemical reactivity of a surface. Unfortunately, SECM images are mainly used qualitatively. Kinetics of reactions at the surface are almost exclusively obtained from the microelectrode current as it approaches the surface, called an approach curve. The approach curve method is excellent when the reaction at the surface has the same kinetics everywhere, but was not designed to fit the kinetics of finite-sized reactive features. We propose a method for extracting kinetics, feature area, and microelectrode tip-to-substrate distance from SECM images by fitting with simulated images of reactive discs using the Levenberg–Marquardt algorithm. The area of experimental reactive features can be fit to within 10% if the underlying feature is roughly disc-shaped. When the reaction at simulated reactive features is activation-limited, the rate constant can be fit to within 15% of the true value. This work heralds the beginning of quantifying kinetics from SECM images.
Date de publication
Maison d’éditionAmerican Chemical Society
Dans
  • Analytical Chemistry (25 octobre 2022) : 15315–15323.
Langueanglais
Publications évaluées par des pairsOui
Numéro du CNRCNRC-AST-2022-2023/017
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Identificateur de l’enregistrement2363a883-014c-46cf-8a78-75988f346aec
Enregistrement créé2022-11-03
Enregistrement modifié2023-09-18
Date de modification :