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Multicomponent Pt-Based Zigzag Nanowires as Selectivity Controllers for Selective Hydrogenation Reactions

机译:多组分基于Pt的曲折纳米线作为选择性加氢反应的选择性控制器

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摘要

The selective hydrogenation of α, β-unsaturated aldehyde is an extremely important transformation, while developing efficient catalysts with desirable selectivity to highly value-added products is challenging, mainly due to the coexistence of two conjugated unsaturated functional groups. Herein, we report that a series of Pt-based zigzag nanowires (ZNWs) can be adopted as selectivity controllers for α, β-unsaturated aldehyde hydrogenation, where the excellent unsaturated alcohol (UOL) selectivity (>95%) and high saturated aldehyde (SA) selectivity (>94%) are achieved on PtFe ZNWs and PtFeNi ZNWs+AlCl_(3), respectively. The excellent UOL selectivity of PtFe ZNWs is attributed to the lower electron density of the surface Pt atoms, while the high SA selectivity of PtFeNi ZNWs+AlCl_(3) is due to synergy between PtFeNi ZNWs and AlCl_(3), highlighting the importance of Pt-based NWs with precisely controlled surface and composition for catalysis and beyond.
机译:α,β-不饱和醛的选择性加氢是极其重要的转化,而开发对高附加值产品具有所需选择性的高效催化剂则具有挑战性,这主要是由于两个共轭不饱和官能团的共存。在此,我们报道了一系列基于Pt的曲折纳米线(ZNWs)作为α,β-不饱和醛氢化的选择性控制剂,其中出色的不饱和醇(UOL)选择性(> 95%)和高饱和醛( SA)的选择性(> 94%)分别在PtFe ZNWs和PtFeNi ZNWs + AlCl_(3)上实现。 PtFe ZNWs的出色的UOL选择性归因于表面Pt原子的较低电子密度,而PtFeNi ZNWs + AlCl_(3)的高SA选择性归因于PtFeNi ZNWs和AlCl_(3)之间的协同作用,突出了基于Pt的NW,具有精确控制的表面和组成,可用于催化及以后的反应。

著录项

  • 来源
    《Journal of the American Chemical Society》 |2018年第27期|8384-8387|共4页
  • 作者单位

    College of Chemistry, Chemical Engineering and Materials Science, Soochow University;

    College of Chemistry, Chemical Engineering and Materials Science, Soochow University;

    College of Chemistry, Chemical Engineering and Materials Science, Soochow University;

    Testing & Analysis Center, Soochow University;

    College of Chemistry, Chemical Engineering and Materials Science, Soochow University;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 03:07:24

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