Atom-by-atom identification of catalytic active sites in operando conditions by quantitative noise detection
Source abstract
Abstract
Electrochemical scanning tunneling microscopy (EC-STM) allows direct observation of surface changes at the atomic scale in the presence of an electrolyte at different electrochemical potentials. Recently, it has been demonstrated that the noise in the tunneling current of EC-STM allows identifying electrocatalytically active sites under reaction conditions. However, this method has never been applied to atom-by-atom investigations and could not provide a quantitative evaluation of the catalytic activity. Using the hydrogen evolution reaction as case study, we demonstrate that the quantitative analysis of the noise in the tunneling current allows quantifying the local onset potential and provides information about the microscopic mechanism of electrochemical reactions on subnanometric electrocatalytic sites, such as chemically heterogeneous flat interfaces, nanoparticles, and even single-atom defects. This unique method allows surpassing the current limits of not only the state-of-the-art EC-STM but also other operando and microscopy techniques. Electrochemical scanning tunneling microscopy (EC-STM) allows direct observation of surface changes at the atomic scale in the presence of an electrolyte at different electrochemical potentials. Recently, it has been demonstrated that the noise in the tunneling current of EC-STM allows identifying electrocatalytically active sites under reaction conditions. However, this method has never been applied to atom-by-atom investigations and could not provide a quantitative evaluation of the catalytic activity. Using the hydrogen evolution reaction as case study, we demonstrate that the quantitative analysis of the noise in the tunneling current allows quantifying the local onset potential and provides information about the microscopic mechanism of electrochemical reactions on subnanometric electrocatalytic sites, such as chemically heterogeneous flat interfaces, nanoparticles, and even single-atom defects. This unique method allows surpassing the current limits of not only the state-of-the-art EC-STM but also other operando and microscopy techniques.
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Research context
OpenAlex topics: Electrocatalysts for Energy Conversion · Electrochemical Analysis and Applications · Surface Chemistry and Catalysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (41)
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