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High-Throughput Bubble Screening Method for Combinatorial Discovery of Electrocatalysts for Water Splitting

机译:高通量气泡筛选方法用于水分解用电催化剂的组合发现

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摘要

Combinatorial synthesis and screening for discovery of electrocatalysts has received increasing attention, particularly for energy-related technologies. High-throughput discovery strategies typically employ a fast, reliable initial screening technique that is able to identify active catalyst composition regions. Traditional electrochemical characterization via current–voltage measurements is inherently throughput-limited, as such measurements are most readily performed by serial screening. Parallel screening methods can yield much higher throughput and generally require the use of an indirect measurement of catalytic activity. In a water-splitting reaction, the change of local pH or the presence of oxygen and hydrogen in the solution can be utilized for parallel screening of active electrocatalysts. Previously reported techniques for measuring these signals typically function in a narrow pH range and are not suitable for both strong acidic and basic environments. A simple approach to screen the electrocatalytic activities by imaging the oxygen and hydrogen bubbles produced by the oxygen evolution reaction (OER) and hydrogen evolution reaction (HER) is reported here. A custom built electrochemical cell was employed to record the bubble evolution during the screening, where the testing materials were subject to desired electrochemical potentials. The transient of the bubble intensity obtained from the screening was quantitatively analyzed to yield a bubble figure of merit (FOM) that represents the reaction rate. Active catalysts in a pseudoternary material library, (Ni–Fe–Co)O_x, which contains 231 unique compositions, were identified in less than one minute using the bubble screening method. An independent, serial screening method on the same material library exhibited excellent agreement with the parallel bubble screening. This general approach is highly parallel and is independent of solution pH.
机译:用于发现电催化剂的组合合成和筛选受到越来越多的关注,特别是在与能源有关的技术方面。高通量发现策略通常采用能够识别活性催化剂成分区域的快速,可靠的初始筛选技术。传统的通过电流-电压测量进行电化学表征本质上是受产量限制的,因为此类测量最容易通过串行筛选进行。平行筛选方法可产生更高的通量,并且通常需要使用催化活性的间接测量方法。在水分解反应中,可以利用局部pH值的变化或溶液中氧气和氢气的存在来并行筛选活性电催化剂。先前报道的用于测量这些信号的技术通常在狭窄的pH范围内起作用,不适用于强酸性和碱性环境。本文报道了一种通过对由放氧反应(OER)和放氢反应(HER)产生的氧气和氢气气泡进行成像来筛选电催化活性的简单方法。使用定制的电化学电池来记录筛选过程中气泡的逸出,其中测试材料要经受所需的电化学电势。定量分析了从筛选中获得的气泡强度的瞬变,以产生代表反应速率的气泡品质因数(FOM)。伪三元材料库(Ni-Fe-Co)O_x中的活性催化剂使用气泡筛分法在不到一分钟的时间内被鉴定出来,其中包含231种独特的成分。在相同材料库上的独立,串行筛选方法与并行气泡筛选显示出极好的一致性。这种通用方法高度并行,并且与溶液pH无关。

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