Homogeneous Integration of Polyoxometalates and Titania into Crumpled Layers.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Bilal Akram, Syeda Sundas Musawar, Sanam Mumtaz, Fozia Nazir, Palwisha Umer, Qingda Liu
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引用次数: 0

Abstract

The crumpling and buckling in nanosheets are anticipated to provide new characteristics that could not be observed in ideal flat layers. However, the rigid lattice structure of inorganic metal oxides limits their assembly into well-defined crumpled layers. Here, this study demonstrates that at the sub-nm scale, polyoxometalates (POMs) clusters having well-defined structures can intercede during the nucleation process of titania and co-assemble with nuclei to form uniform, large-sized crumpled binary 2D layers with a thickness of 2 nm. The obtained crumpled layers are then used as a support material to immobilize Pd nanoclusters with an average size of 2 nm. Pd-immobilized crumpled layers are employed as heterogeneous catalysts for the partial hydrogenation of acetylene. This structurally and compositionally unique heterogeneous catalyst manifests exceptional selectivity to cis-alkene with almost 100% yield as compared to commercially available titania which only exhibits 10% diphenylacetylene conversion and 42% selectivity in the given period of time.

将聚氧化金属盐和二氧化钛均匀集成到皱褶层中。
纳米片中的皱缩和屈曲预计将提供在理想平面层中无法观察到的新特性。然而,无机金属氧化物的刚性晶格结构限制了它们组装成定义明确的皱缩层。本研究在此证明,在亚纳米尺度上,具有明确结构的聚氧化金属(POMs)团簇可以在二氧化钛成核过程中介入,并与核共同组装形成厚度为 2 纳米的均匀、大尺寸皱缩二元二维层。获得的皱缩层可用作固定平均尺寸为 2 纳米的钯纳米团簇的支撑材料。固定了钯的皱缩层被用作乙炔部分氢化的异相催化剂。这种结构和组成独特的异相催化剂对顺式烯烃的选择性极高,收率几乎达到 100%,而市售的二氧化钛在给定时间内的二苯基乙炔转化率仅为 10%,选择性仅为 42%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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