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首页> 美国卫生研究院文献>Chemical Science >Fast electrosynthesis of Fe-containing layered double hydroxide arrays toward highly efficient electrocatalytic oxidation reactions
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Fast electrosynthesis of Fe-containing layered double hydroxide arrays toward highly efficient electrocatalytic oxidation reactions

机译：含铁层状双氢氧化物阵列的快速电合成可实现高效电催化氧化反应

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摘要

A new electrochemical synthesis route was developed for the fabrication of Fe-containing layered double hydroxide (MFe-LDHs, M = Ni, Co and Li) hierarchical nanoarrays, which exhibit highly-efficient electrocatalytic performances for the oxidation reactions of several small molecules (water, hydrazine, methanol and ethanol). Ultrathin MFe-LDH nanoplatelets (200–300 nm in lateral length; 8–12 nm in thickness) perpendicular to the substrate surface are directly prepared within hundreds of seconds (<300 s) under cathodic potential. The as-obtained NiFe-LDH nanoplatelet arrays display promising behavior in the oxygen evolution reaction (OER), giving rise to a rather low overpotential (0.224 V) at 10.0 mA cm–2 with largely enhanced stability, much superior to previously reported electro-oxidation catalysts as well as the state-of-the-art Ir/C catalyst. Furthermore, the MFe-LDH nanoplatelet arrays can also efficiently catalyze several other fuel molecules’ oxidation (e.g., hydrazine, methanol and ethanol), delivering a satisfactory electrocatalytic activity and a high operation stability. In particular, this preparation method of Fe-containing LDHs is amenable to fast, effective and large-scale production, and shows promising applications in water splitting, fuel cells and other clean energy devices.
机译：为制备含铁的层状双氢氧化物（MFe-LDHs，M = Ni，Co和Li）分级纳米阵列，开发了一种新的电化学合成路线，该路线对几个小分子（水，肼，甲醇和乙醇）。垂直于基材表面的超薄MFe-LDH纳米片（横向长度为200-300 nm；厚度为8-12 nm）是在阴极电势下数百秒（<300 s）内直接制备的。如此获得的NiFe-LDH纳米血小板阵列在氧释放反应（OER）中显示出令人鼓舞的行为，在10.0 mA cm –2 时产生了相当低的过电势（0.224 V），稳定性大大提高，大大优于先前报道的电氧化催化剂以及最新的Ir / C催化剂。此外，MFe-LDH纳米片阵列还可以有效地催化其他几种燃料分子的氧化（例如肼，甲醇和乙醇），提供令人满意的电催化活性和高运行稳定性。特别地，这种含铁LDH的制备方法适合于快速，有效和大规模生产，并且在水分解，燃料电池和其他清洁能源装置中显示出有希望的应用。

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