Correlating O-Vacancy and Hydrogen Spillover with Activity and Selectivity in Furfural Hydrogenation Using Nanocatalysts Comprised of Ru Nanoparticles Supported on TiO2–SiO2

纳米材料基催化剂 氢溢流 催化作用 纳米颗粒 糠醛 材料科学 选择性 化学工程 氧化物 纳米材料 纳米工程 纳米技术 无机化学 化学 有机化学 冶金 工程类
作者
Leandro D. Almeida,Selma Fabiana Bazan,Pedro Lana Gastelois,Marco Aurélio Suller Garcia,Guilherme Ferreira de Lima,Vinícius W. Faria,Marco A. Fraga,Anderson G. M. da Silva,Patricia A. Robles-Azocar
出处
期刊:ACS applied nano materials [American Chemical Society]
卷期号:6 (9): 7763-7774 被引量:4
标识
DOI:10.1021/acsanm.3c00767
摘要

The nanoengineering of efficient and stable nanocatalysts is highly desired for sustainable biomass valorization toward the selective hydrogenation of furfural. The interaction of supports with metallic nanoparticles and oxygen vacancies has a significant role in the catalytic activity of oxide nanocatalysts. Here, by combining density functional theory (DFT) calculations and catalytic experimental data, we demonstrated that the presence of TiO2 in Ru–SiO2 catalysts might allow an association between oxygen vacancies and the hydrogen spillover effect. Specifically, Ru–TiO2–SiO2 and Ru–SiO2 nanocatalysts displayed improved activities and selectivities toward the reaction mentioned above. The nanomaterials were prepared by a simple, versatile, and single-step modified sol–gel process build upon two different stabilizing agents (P123 and CTAB), which afforded entirely covered surfaces of TiO2–SiO2 and SiO2 supports with uniform small Ru nanoparticles generated in situ. The Ru-TSdc nanocatalyst displayed several interesting promising nanoscale features for hydrogenation of furfural: (i) uniform distribution of Ru, Ti, and Si elements over the entire catalyst surface, (ii) deposition of small Ru nanoparticles with no significant particle agglomeration, (iii) facilitated hydrogen spillover from Ru NPs to the TiO2 support, and (iv) a significant amount of oxygen vacancies at the nanoparticle surface. For these reasons, the Ru-TSdc sample afforded the optimal performance toward the selective hydrogenation of furfural (up to 99% of selectivity), maintaining good conversions in certain reaction conditions. This work demonstrates how the catalytic activity of metallic nanoparticles could be improved by the structural addition of a reducible oxide, leading to more efficient inorganic supports and for preparing nanocatalysts.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
冷冷完成签到,获得积分10
1秒前
朝朝完成签到,获得积分20
1秒前
迅速静柏发布了新的文献求助10
1秒前
JamesPei应助务实的果汁采纳,获得10
2秒前
大模型应助小巧的砖家采纳,获得10
2秒前
ysh发布了新的文献求助10
2秒前
Str0n发布了新的文献求助10
4秒前
科研通AI6.3应助silsotiscolor采纳,获得10
4秒前
研友_VZG7GZ应助yj采纳,获得10
5秒前
朝朝发布了新的文献求助10
6秒前
何琦完成签到,获得积分20
7秒前
Evak完成签到,获得积分10
8秒前
胡八一667完成签到 ,获得积分10
9秒前
9秒前
9秒前
香蕉觅云应助张宇琪采纳,获得10
10秒前
星辰大海应助灵巧冰绿采纳,获得10
10秒前
10秒前
11秒前
csy完成签到,获得积分10
12秒前
12秒前
JamesPei应助ok的采纳,获得10
13秒前
14秒前
兔子完成签到,获得积分10
14秒前
小二郎应助LH采纳,获得10
16秒前
16秒前
16秒前
17秒前
张欢馨应助流年采纳,获得30
17秒前
脆脆鲨发布了新的文献求助10
17秒前
17秒前
FashionBoy应助yw采纳,获得10
18秒前
angel完成签到,获得积分10
19秒前
19秒前
传奇3应助darling采纳,获得10
20秒前
20秒前
zzz发布了新的文献求助10
20秒前
马苏完成签到,获得积分10
20秒前
戴维发布了新的文献求助10
22秒前
高分求助中
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6493580
求助须知:如何正确求助?哪些是违规求助? 8290915
关于积分的说明 17692160
捐赠科研通 5585788
什么是DOI,文献DOI怎么找? 2915686
邀请新用户注册赠送积分活动 1892781
关于科研通互助平台的介绍 1751229