Influence of the pH Gradient on Bipolar Membrane Operation

Bipolar membranes (BPMs) provide a key framework for integration of earth abundant catalysts in energy conversion systems and development of water purification systems. Efficient BPM operation requires water dissociation (WD) catalysts in the BPM; however, understanding of the catalyzed WD process and the impact of operating conditions have remained limited. Here, Nafion-Aemion BPMs employing known WD catalysts (graphene oxide, aluminum hydroxide, titanium oxide, iridium oxide) were investigated using electrochemical analyses as a function of catalyst loading and pH gradient conditions up to 50 mA cm–2. Altered catalyst loadings allowed the balance between field strength and catalyst utilization to be observed, while control of the pH gradient provided insight into catalyst layer operation and the limiting WD process. These results were then related to a current–voltage expression for BPM operation, where the number of ionizable catalyst sites available for proton transfer processes, space charge region thickness at the limiting WD interface, and catalyst dielectric constant are key factors. Graphene oxide was limited by hydroxide formation near the anion exchange layer; titanium oxide and iridium oxide were limited by proton formation near the cation exchange layer, while aluminum hydroxide was limited by both processes. Graphene oxide and aluminum hydroxide exhibited high field utilization and WD activity, attributed to low dielectric constants and catalyst structure. These results indicate key areas for improving BPM operation and provide methods to determine the limiting WD process.

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Publication Details

Journal
ACS electrochemistry.
Published
2024-12-23
DOI
https://doi.org/10.1021/acselectrochem.4c00157
Citations
1
Primary Topic
Membrane-based Ion Separation Techniques
Type
article
Field-Weighted Citation Impact
0.18

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article

Influence of the pH Gradient on Bipolar Membrane Operation

Michael S. Freund, Patrick K. Giesbrecht
1 citations
ACS electrochemistry.
Membrane-based Ion Separation Techniques
0.18
article

Influence of the pH Gradient on Bipolar Membrane Operation

Michael S. Freund, Patrick K. Giesbrecht
article en
1 citations

Abstract

Bipolar membranes (BPMs) provide a key framework for integration of earth abundant catalysts in energy conversion systems and development of water purification systems. Efficient BPM operation requires water dissociation (WD) catalysts in the BPM; however, understanding of the catalyzed WD process and the impact of operating conditions have remained limited. Here, Nafion-Aemion BPMs employing known WD catalysts (graphene oxide, aluminum hydroxide, titanium oxide, iridium oxide) were investigated using electrochemical analyses as a function of catalyst loading and pH gradient conditions up to 50 mA cm–2. Altered catalyst loadings allowed the balance between field strength and catalyst utilization to be observed, while control of the pH gradient provided insight into catalyst layer operation and the limiting WD process. These results were then related to a current–voltage expression for BPM operation, where the number of ionizable catalyst sites available for proton transfer processes, space charge region thickness at the limiting WD interface, and catalyst dielectric constant are key factors. Graphene oxide was limited by hydroxide formation near the anion exchange layer; titanium oxide and iridium oxide were limited by proton formation near the cation exchange layer, while aluminum hydroxide was limited by both processes. Graphene oxide and aluminum hydroxide exhibited high field utilization and WD activity, attributed to low dielectric constants and catalyst structure. These results indicate key areas for improving BPM operation and provide methods to determine the limiting WD process.

ACS electrochemistry.Vol. 1(5)
Dalhousie University (CA)
Canada Foundation for Innovation, Killam Trusts, Research Nova Scotia, Natural Sciences and Engineering Research Council of Canada
Clean water and sanitation
Openalex Percentile: Top 49%
Membrane-based Ion Separation Techniques
0.18
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