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Scanning Electrochemical Flow Cell with Online Mass Spectroscopy for Accelerated Screening of Carbon Dioxide Reduction Electrocatalysts

Journal Article · · ACS Combinatorial Science
 [1];  [2];  [2];  [2];  [3]
  1. California Institute of Technology (CalTech), Pasadena, CA (United States). Joint Center for Artificial Photosynthesis (JCAP); Caltech
  2. California Institute of Technology (CalTech), Pasadena, CA (United States). Joint Center for Artificial Photosynthesis (JCAP)
  3. California Institute of Technology (CalTech), Pasadena, CA (United States). Joint Center for Artificial Photosynthesis (JCAP), and Division of Engineering and Applied Science

Electrochemical conversion of carbon dioxide into valuable chemicals or fuels is an increasingly important strategy for achieving carbon neutral technologies. The lack of a sufficiently active and selective electrocatalyst, particularly for synthesizing highly reduced products, motivates accelerated screening to evaluate new catalyst spaces. Traditional techniques, which couple electrocatalyst operation with analytical techniques to measure product distributions, enable screening throughput at 1–10 catalysts per day. In this paper, a combinatorial screening instrument is designed for MS detection of hydrogen, methane, and ethylene in quasi-real-time during catalyst operation experiments in an electrochemical flow cell. Coupled with experiment modeling, product detection during cyclic voltammetry (CV) enables modeling of the voltage-dependent partial current density for each detected product. Here, we demonstrate the technique by using the well-established thin film Cu catalysts and by screening a Pd–Zn composition library in carbonate-buffered aqueous electrolyte. The rapid product distribution characterization over a large range of overpotential makes the instrument uniquely suited for accelerating screening of electrocatalysts for the carbon dioxide reduction reaction.

Research Organization:
California Institute of Technology (CalTech), Pasadena, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
Grant/Contract Number:
SC0004993; AC02-76SF00515
OSTI ID:
1606293
Journal Information:
ACS Combinatorial Science, Journal Name: ACS Combinatorial Science Journal Issue: 10 Vol. 21; ISSN 2156-8952
Publisher:
American Chemical Society (ACS)Copyright Statement
Country of Publication:
United States
Language:
English

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Cited By (1)

The sensitivity of Cu for electrochemical carbon dioxide reduction to hydrocarbons as revealed by high throughput experiments journal January 2019