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Published June 2024 | Published
Journal Article Open

Accelerated screening of gas diffusion electrodes for carbon dioxide reduction

Abstract

The electrochemical conversion of carbon dioxide to chemicals and fuels is expected to be a key sustainability technology. Electrochemical carbon dioxide reduction technologies are challenged by several factors, including the limited solubility of carbon dioxide in aqueous electrolyte as well as the difficulty in utilizing polymer electrolytes. These considerations have driven system designs to incorporate gas diffusion electrodes (GDEs) to bring the electrocatalyst in contact with both a gaseous reactant/product stream as well as a liquid electrolyte. GDE optimization typically results from manual tuning by select experts. Automated preparation and operation of GDE cells could be a watershed for the systematic study of, and ultimately the development of a materials acceleration platform (MAP) for, catalyst discovery and system optimization. Toward this end, we present the automated GDE (AutoGDE) testing system. Given a catalyst-coated GDE, AutoGDE automates the insertion of the GDE into an electrochemical cell, the liquid and gas handling, the quantification of gaseous reaction products via online mass spectroscopy, and the archiving of the liquid electrolyte for subsequent analysis.

Copyright and License

© 2024 The Author(s). Published by the Royal Society of Chemistry. This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.

Acknowledgement

This material is based on work performed by the Liquid Sunlight Alliance, which is supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Fuels from Sunlight Hub under Award Number DE-SC0021266. The Resnick Sustainability Institute at Caltech is acknowledged for its support of enabling infrastructure and facilities. The authors thank Aidan Fenwick, Gavin Heim, and Theodor Agapie for helpful discussion, and Aidan Fenwick for deposition of the Cu on the GDE.

Contributions

R. J. J. and J. M. G. designed AutoGDE with input from all co-authors. R. J. J. and Y. L. assembled AutoGDE. D. G., K. K., and Y. L. developed the instrument control software. Y. L. procured and analyzed the demonstration data. J. M. G. was the primary author of the manuscript with contributions from all authors. R. J. R and Y. L. were the primary authors of the assembly and operation instructions. J. A. H. and J. M. G. supervised the project.

Data Availability

The instrument control software is available at https://github.com/High-Throughput-Experimentation/helao-async, with dependencies in https://github.com/High-Throughput-Experimentation/helao-core. These repositories contain the MIT License. The hardware design for AutoGDE is comprised of drawings and machining instructions, assembly instructions, pseudo-code for instrument operation, python code for the HELAO sequence for collection of demonstration data, data files acquired for the present work, and the source code for the analysis and plotting of those data, which are provided under the CERN Open Hardware License, CERN-OHL-P, via CaltechData at https://data.caltech.edu/records/f40n8-cv274 (doi: https://doi.org/10.22002/f40n8-cv274).

Conflict of Interest

J. M. G. is an industrial consultant for experiment automation.

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Additional details

Created:
June 26, 2024
Modified:
June 26, 2024