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Recent advances in the electrochemical production of hydrogen peroxide.
- Source :
-
Electrochimica Acta . Mar2024, Vol. 481, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- Hydrogen peroxide (H 2 O 2) is an innovative and environmentally friendly oxidant that finds wide-ranging applications across multiple industries. In the past, H 2 O 2 production predominantly relied on the anthraquinone method, which had drawbacks such as the generation of organic waste and the requirement for energy-intensive reactions. A cheap, efficient, and sustainable way of producing H 2 O 2 may be achieved through the redox reaction between oxygen and water. On both small and large scales, the electrosynthesis of H 2 O 2 is practical and affordable. In recent years, it has been thought that the energy-intensive anthraquinone process may be replaced by the electrochemical synthesis of H 2 O 2 via the two-electron oxygen reduction reaction (ORR) route. To eliminate the organic pollutants found in drinking water and industrial effluent, highly effective hydrogen peroxide (H 2 O 2) must be produced electrochemically using gas diffusion electrodes (GDEs). Compared to other carbonaceous cathodes, the GDEs as cathodic electrocatalysts demonstrate greater cost-effectiveness, lower energy consumption, and higher oxygen utilization efficiency for the formation of H 2 O 2. A promising alternative for enabling the growth of sustainable economics in the W&W sector is microbial electrochemical systems (MESs) that create H 2 O 2. To enhance the efficiency and predictability of H 2 O 2 production in MESs, a machine-learning approach was adopted, incorporating a meta-learning methodology to forecast the generation rate of H 2 O 2 in MES based on the seven input variables, comprising several design and operational parameters. [Display omitted] [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00134686
- Volume :
- 481
- Database :
- Academic Search Index
- Journal :
- Electrochimica Acta
- Publication Type :
- Academic Journal
- Accession number :
- 175774370
- Full Text :
- https://doi.org/10.1016/j.electacta.2024.143872