Using graphene oxide as a sacrificial support of polyoxotitanium clusters to replicate its two-dimensionality on pure titania photocatalysts
Using graphene oxide as a sacrificial support of polyoxotitanium clusters to replicate its two-dimensionality on pure titania photocatalysts
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DOI：
10.1039/c5ta09989g
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发表时间：
2016-05
影响因子：
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通讯作者：
Salvador Eslava;A. Reynal;V. G. Rocha;S. Barg;E. Saiz
中科院分区：
文献类型：
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作者：
Salvador Eslava;A. Reynal;V. G. Rocha;S. Barg;E. Saiz
金属氧化物的纳米结构优化对于利用其在人工光合作用、光催化和多相催化中的性质至关重要。因此，有必要找到可行的和简单的制造方法来调整其纳米结构。在这里，我们揭示了以其纳米和二维性而闻名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性。这在将Ti16 O16（OEt）32多氧钛簇与氧化石墨烯薄片一起煅烧中得到证明，这导致二维排列的<10 nm二氧化钛纳米颗粒的纯二氧化钛纳米薄片。这些二氧化钛纳米片在从含水甲醇悬浮液的光催化制氢中超过仅由Ti16O16（OEt）32簇制备的二氧化钛40倍，以及基准P25二氧化钛5倍。这些结果揭示了使用聚氧钛簇与氧化石墨烯的优势，并为开发各种聚氧钛酸盐簇作为催化和光催化的前体以及使用氧化石墨烯作为纳米结构优化的牺牲载体开辟了新的途径。
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.