In掺杂Bi金属纳米片电催化还原CO2

Electrocatalytic CO2 reduction reaction on In doped Bi metal nanosheets

  • 摘要: Bi(铋)和 In(铟)金属是极具潜力的电化学CO2还原反应(CO2RR)产甲酸催化剂,但它们的活性与稳定性不足,限制了其在实际中的应用。基于此,利用Bi和In金属来构造双金属催化剂。通过还原不同质量配比的金属盐,制备了一系列BiIn-x合金催化剂。随着铟盐的添加量变化,Bi纳米片转变为纳米片组装结构。在铟盐的添加量为6%质量配比时,获得了微小纳米片组装三维多孔蜂窝结构的BiIn双金属催化剂(BiIn-0.06),这种三维多孔蜂窝结构有利于电子和反应物的传输。该催化剂拥有更多的表面活性位点,加之两种金属元素通过协同作用,共同优化并加速化学反应的进行,提高了目标产物的生成效率。在电极电势为−1.0 VRHE时,BiIn-0.06的法拉第效率(FEHCOOH)达到最大值96.97%,HCOOH分电流密度31.9 mA/cm2,并且在−0.8~−0.1 VRHE电势范围内,其FEHCOOH均大于91%。研究结果表明,不同的In掺杂含量可以改变Bi基催化剂的晶体结构和表面形貌,促进反应中间体的吸附,大大提高CO2RR的活性和产物的选择性。

     

    Abstract: Bismuth (Bi) and indium (In) metals are potential catalysts for the production of formic acid in the electrocatalytic CO2 reduction reaction (CO2RR), but their activity and stability are insufficient, which limits their application in practice. Based on this, bimetallic catalysts were constructed using Bi and In metals. A series of BiIn-x alloy catalysts were prepared by reducing metal salts of different mass ratios. With the addition of indium salt, Bi nanosheets were transformed into nanosheet assembly structures. BiIn bimetallic catalyst (BiIn-0.06) with three-dimensional porous honeycomb structure assembled by tiny nanosheets was obtained when the amount of indium salt added is 6% mass ratio. This three-dimensional porous honeycomb structure facilitates the transport of electrons and reactants. The catalyst has more surface active sites, and the two metal elements work together to optimize and accelerate the chemical reaction, improving the generation efficiency of the target product. At an electrode potential of −1.0 VRHE, BiIn-0.06 achieved a maximum FEHCOOH of 96.97% and HCOOH partial current density of 31.9 mA /cm2, and within a potential range of −0.8 to −0.1 VRHE, its FEHCOOH remained above 91%. The results indicate that varying In doping levels can alter the crystal structure and surface morphology of Bi-based alloy catalysts, promote the adsorption of reaction intermediates, and significantly enhance CO2RR activity and product selectivity.

     

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