ZnO纳米线阵列修饰Cu纳米颗粒催化4-硝基苯酚转化为4-氨基苯酚

IF 9.1 Q1 ENGINEERING, CHEMICAL Green Chemical Engineering Pub Date : 2023-03-25 DOI:10.1016/j.gce.2023.03.003
Anlin Feng , Chaoyu Lin , Huiqin Zhou , Weihong Jin , Yidong Hu , Dongyang Li , Qingyang Li
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引用次数: 0

摘要

为了经济有效地去除环境中的有害物质 4-硝基苯酚,我们开发了一种用铜纳米粒子装饰的易于回收的氧化锌纳米线阵列。其丹参状结构不仅为实现铜纳米粒子的稳定和良好分散提供了平台,还提供了大量的催化活性位点。密度泛函理论计算表明,氧化锌和铜对其催化能力具有非常有利的协同效应。这种协同作用归因于 ZnO/Cu 界面发生的电子定位,它有助于提高 Cu 纳米粒子吸附 4-硝基苯乙酸根离子和捕获氢自由基的能力,从而加速氢从金属氢化物复合物转移到 4-硝基苯酚。得益于这些特性,它在催化将废弃的 4-硝基苯酚还原为有价值的 4-氨基苯酚方面表现出高效率和可重复使用性,其速率常数为 43.02 × 10-3 s-1,在 10 个循环的 90 秒内平均转化率为 96.5%。这种活性优于大多数已报道的惰性或非惰性金属粉末、块状、涂层和阵列催化剂,表明其在成本和效率方面具有竞争优势,并具有诱人的应用前景。
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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Catalytic transformation of 4-nitrophenol into 4-aminophenol over ZnO nanowire array-decorated Cu nanoparticles

To realize economical and effective removal of hazardous 4-nitrophenol from the environment, we developed an easily recyclable ZnO nanowire array decorated with Cu nanoparticles. Its salix argyracea-shaped structure not only provides a platform to achieve stable and good dispersion of Cu nanoparticles, but also offers a great deal of catalytically active sites. The density functional theory calculations reveal that ZnO and Cu have a very beneficial synergistic effect on their catalytic capability. This synergy is ascribed to the electronic localization occurring at ZnO/Cu interface, which helps improve Cu nanoparticle's ability to adsorb electro-negatively 4-nitrophenolate ions and to capture hydrogen radicals, thereby accelerating the hydrogen transfer from metal hydride complex to 4-nitrophenol. Benefiting from these characteristics, it exhibits high efficiency and reusability towards the catalytic reduction of waste 4-nitrophenol to valuable 4-aminophenol with a rate constant of 43.02 × 10−3 s−1 and an average conversion of 96.5% in 90 s during 10 cycles. This activity is superior to that of most reported noble- or non-noble-metal powder, bulk, coating, and array catalysts, indicating its competitive advantages in cost and efficiency, as well as enticing application prospects.

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来源期刊
Green Chemical Engineering
Green Chemical Engineering Process Chemistry and Technology, Catalysis, Filtration and Separation
CiteScore
11.60
自引率
0.00%
发文量
58
审稿时长
51 days
期刊最新文献
OFC: Outside Front Cover Outside Back Cover Outside Back Cover OFC: Outside Front Cover Integration of physical information and reaction mechanism data for surrogate prediction model and multi-objective optimization of glycolic acid production
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