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Scanning Electrochemical Flow Cell with Online Mass Spectroscopy for Accelerated Screening of Carbon Dioxide Reduction Electrocatalysts.
ACS Combinatorial Science Pub Date : 2019-09-25 , DOI: 10.1021/acscombsci.9b00130
Yungchieh Lai 1 , Ryan J R Jones 1 , Yu Wang 1 , Lan Zhou 1 , John M Gregoire 1, 2
Affiliation  

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. 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.

中文翻译:

在线质谱扫描电化学流动池,用于加速筛选二氧化碳还原电催化剂。

将二氧化碳电化学转化为有价值的化学品或燃料是实现碳中和技术的越来越重要的策略。缺乏足够的活性和选择性的电催化剂,特别是对于合成高度还原的产物,促使加速筛选以评估新的催化剂空间。传统技术将电催化剂操作与分析技术结合起来以测量产物分布,从而每天可以筛选1-10个催化剂。在本文中,设计了一种组合式筛选仪器,用于在电化学流通池中的催化剂操作实验中准实时地对氢,甲烷和乙烯进行质谱检测。结合实验建模,循环伏安法(CV)期间的产品检测可对每个检测到的产品建立与电压有关的部分电流密度的模型。我们通过使用公认的薄膜Cu催化剂并通过在碳酸盐缓冲的水性电解质中筛选Pd-Zn组成库来论证该技术。在大范围的超电势范围内快速的产品分布特性使该仪器特别适合用于加速筛选二氧化碳还原反应的电催化剂。
更新日期:2019-09-26
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