4.8 Article

The Study of Multireactional Electrochemical Interfaces via a Tip Generation/Substrate Collection Mode of Scanning Electrochemical Microscopy: The Hydrogen Evolution Reaction for Mn in Acidic Solution

Journal

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
Volume 135, Issue 42, Pages 15890-15896

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/ja407395m

Keywords

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Funding

  1. Fondazione Oronzio e Niccolo De Nora Fellowship in Applied Electrochemistry
  2. National Science Foundation [CHE-1111518]
  3. Robert A. Welch Foundation [F-0021]
  4. Direct For Mathematical & Physical Scien
  5. Division Of Chemistry [1111518] Funding Source: National Science Foundation

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We report a new method of scanning electrochemical microscopy (SECM) that can be used to separate multireactional electrochemical interfaces, i.e., electrodes at which two or more reactions occur (and hence two partial currents flow) at the same time. This was done with a modified tip generation/substrate collection mode where the two reactions occur on the tip electrode, and the substrate electrode is held at a potential to collect only one of the products, allowing the determination of the individual partial currents. Thus, by using the substrate electrode current and the difference between the tip and substrate electrode currents, the two reactions occurring on the tip electrode can be separated. As a test case for this new method, we investigated proton reduction on Mn, a reaction that, because of the highly corrosive nature of Mn, to our knowledge has never before been directly measured. This test was carried out using a Mn tip electrode and a Pt substrate electrode. Using a three-dimensional COMSOL Multiphysics simulation, we were able to accurately determine the tip/substrate distance with this electrode, and by fitting simulations to experimental data, we were able to determine an exchange current density, log(j(0)) = -4.7 +/- 0.7 A cm(-2), for proton reduction on Mn in strong acid. This result corrects a literature value and was used in a pattern recognition algorithm reported in a companion manuscript.

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