4.6 Article

Modeling the electrosynthesis of H2O2: Understanding the role of predatory species

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CHEMICAL ENGINEERING SCIENCE
卷 273, 期 -, 页码 -

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2023.118647

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Hydrogen peroxide; Predators; Modelling; High efficiency; Diamond

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This study evaluates the electrosynthesis of hydrogen peroxide from the oxygen reduction reaction using a flow-by electrochemical cell under different operation conditions and electrodes. A phenomenological model is proposed to understand the processes inside the electrochemical reactor and the influence of predatory species on H2O2 production at high concentrations. Comparing different anodes, DSA-Cl2 is found to be twice as efficient as BDD, allowing for concentrations as high as 4.2 g L-1. The decomposition of H2O2 is influenced by the electrochemical processes of predatory species such as ozone and peroxymonopersulfate.
In this work, the electrosynthesis of hydrogen peroxide from the oxygen reduction reaction is evaluated using a flow-by electrochemical cell under different operation conditions and electrodes. In addition, a phenomenological model is proposed to understand the processes that occur inside the electrochemical reactor, and how the predatory species act against the production of H2O2 at high concentrations. In com-paring different types of anodes, the electrosynthesis of H2O2 is almost twice as efficient when using DSA-Cl2 instead of BDD as the anode, which allowed it to reach concentrations as high as 4.2 g L-1. The rate of decomposition of H2O2 is higher when the more vigorous anode is used. This decomposition is not only caused by the H2O2 on the anode surface or by its self-decomposition within the bulk, but it is mostly related to the electrochemical processes of production of H2O'2s predatory species such as ozone and per-oxymonopersulfate. The formulated phenomenological model explains and satisfactorily reproduces the influence of anode type, electrolyte, and current density on the electrosynthesis of H2O2 at high concen-trations obtaining regression coefficients higher than 0.99. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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