首页> 外文期刊>Journal of Materials Chemistry, A. Materials for energy and sustainability >Using graphene oxide as a sacrificial support of polyoxotitanium clusters to replicate its two-dimensionality on pure titania photocatalysts
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Using graphene oxide as a sacrificial support of polyoxotitanium clusters to replicate its two-dimensionality on pure titania photocatalysts

机译:使用氧化石墨烯作为聚氧化钛簇的牺牲载体,在纯二氧化钛光催化剂上复制其二维性

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摘要

The nanostructure optimisation of metal oxides is of crucial importance to exploit their qualities in artificial photosynthesis, photovoltaics and heterogeneous catalysis. Therefore, it is necessary to find viable and simple fabrication methods to tune their nanostructure. Here we reveal that graphene oxide flakes, known for their nano-and two-dimensionality, can be used as a sacrificial support to replicate their nano-and two-dimensionality in photocatalytic titania. This is demonstrated in the calcination of Ti16O16(OEt)(32) polyoxotitanium clusters together with graphene oxide flakes, which results in pure titania nanoflakes of < 10 nm titania nanoparticles in a two-dimensional arrangement. These titania nanoflakes outperform the titania prepared from only Ti16O16(OEt)(32) clusters by a factor of forty in the photocatalytic hydrogen production from aqueous methanol suspensions, as well as the benchmark P25 titania by a factor of five. These outcomes reveal the advantage of using polyoxotitanium clusters with graphene oxide and open a new avenue for the exploitation of the vast variety of polyoxometalate clusters as precursors in catalysis and photovoltaics, as well as the use of graphene oxide as a sacrificial support for nanostructure optimisation.
机译:金属氧化物的纳米结构优化对于利用其在人工光合作用,光生伏打和非均相催化中的质量至关重要。因此,有必要找到可行且简单的制备方法来调节其纳米结构。在这里,我们揭示了以纳米和二维为特征的氧化石墨烯薄片可以用作牺牲载体,以在光催化二氧化钛中复制其纳米和二维。这在Ti16O16(OEt)(32)聚氧化钛簇与氧化石墨烯片的煅烧中得到了证明,这导致了二维排列的<10 nm氧化钛纳米颗粒的纯二氧化钛纳米薄​​片。这些二氧化钛纳米薄​​片的性能优于仅由Ti16O16(OEt)(32)团簇制备的二氧化钛,在甲醇水溶液悬浮液的光催化制氢过程中,二氧化钛的性能提高了四十倍,而基准P25二氧化钛的性能提高了五倍。这些结果揭示了使用聚氧化钛簇与氧化石墨烯的优势,并为利用多种多金属氧酸盐簇作为催化和光伏的前体,以及使用氧化石墨烯作为纳米结构优化的牺牲性支持开辟了一条新途径。

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