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@ARTICLE{Zhu:1005447,
author = {Zhu, Xinwei and Huang, Jun and Eikerling, Michael},
title = {p{H} {E}ffects in a {M}odel {E}lectrocatalytic {R}eaction
{D}isentangled},
journal = {JACS Au},
volume = {3},
number = {4},
issn = {2691-3704},
address = {Washington, DC},
publisher = {ACS Publications},
reportid = {FZJ-2023-01478},
pages = {1052–1064},
year = {2023},
abstract = {Varying the solution pH not only changes the reactant
concentrations in bulk solution but also the local reaction
environment (LRE) that is shaped furthermore by macroscopic
mass transport and microscopic electric double layer (EDL)
effects. Understanding ubiquitous pH effects in
electrocatalysis requires disentangling these interwoven
factors, which is a difficult, if not impossible, task
without physical modeling. Herein, we demonstrate how a
hierarchical model that integrates microkinetics,
double-layer charging, and macroscopic mass transport can
help understand pH effects of the formic acid oxidation
reaction (FAOR). In terms of the relation between the peak
activity and the solution pH, intrinsic pH effects without
consideration of changes in the LRE would lead to a
bell-shaped curve with a peak at pH = 6. Adding only
macroscopic mass transport, we can already reproduce
qualitatively the experimentally observed trapezoidal shape
with a plateau between pH 5 and 10 in perchlorate and
sulfate solutions. A quantitative agreement with
experimental data requires consideration of EDL effects
beyond Frumkin correlations. Specifically, the peculiar
nonmonotonic surface charging relation affects the free
energies of adsorbed intermediates. We further discuss pH
effects of FAOR in phosphate and chloride-containing
solutions, for which anion adsorption becomes important.
This study underpins the importance of a full consideration
of multiple interrelated factors for the interpretation of
pH effects in electrocatalysis.},
cin = {IEK-13},
ddc = {540},
cid = {I:(DE-Juel1)IEK-13-20190226},
pnm = {1212 - Materials and Interfaces (POF4-121) / 1215 -
Simulations, Theory, Optics, and Analytics (STOA)
(POF4-121)},
pid = {G:(DE-HGF)POF4-1212 / G:(DE-HGF)POF4-1215},
typ = {PUB:(DE-HGF)16},
pubmed = {37124300},
UT = {WOS:000978886200001},
doi = {10.1021/jacsau.2c00662},
url = {https://juser.fz-juelich.de/record/1005447},
}