Morphology‐Engineering Construction of Anti‐Aggregated Co/N‐Doped Hollow Carbon from Metal‐Organic Frameworks for Efficient Biomass Upgrading

材料科学 生物量(生态学) 碳纤维 化学工程 兴奋剂 金属 金属有机骨架 纳米技术 形态学(生物学) 有机化学 复合材料 化学 复合数 冶金 生态学 光电子学 生物 工程类 遗传学 吸附
作者
Yaohui Wu,Li Wang,Liyu Chen,Yingwei Li,Kui Shen
出处
期刊:Small [Wiley]
卷期号:19 (20): e2207689-e2207689 被引量:28
标识
DOI:10.1002/smll.202207689
摘要

The controlled pyrolysis of metal/carbon-containing precursors is commonly used for fabricating multifunctional metal/carbon-based catalysts, nevertheless, the inevitable agglomeration of these precursors in pyrolysis is extremely negative for efficient catalysis. This study reports the first example of suppressing the interfacial fusion and agglomeration of metal/carbon-based catalyst in its pyrolysis-involved fabrication process by developing a facile morphology-engineering strategy. Metal-organic framework precursors are chosen as a proof of concept and five Co/N-doped hollow carbons with different morphologies (rhombic dodecahedron, cube, plate, interpenetration twin, and rod) are synthesized via the pyrolysis of their corresponding core-shell ZIF-8@ZIF-67 precursors. It is demonstrated that the interpenetration twin precursor shows the minimum interfacial contact of interparticles due to its partly-concave morphology with abundant facets, which endows it with the best resistibility from interfacial fusion and thus aggregation of interparticles during pyrolysis. Benefiting from its unique anti-aggregated structure with high specific surface area, abundant fully-exposed active sites, and good dispersibility, the resultant 36-facet Co/N-doped hollow carbon exhibit remarkably improved catalytic property for biomass upgrading as compared with its aggregated counterparts. This study highlights the crucial role of engineering morphology to prevent metal/carbon-containing precursors from detrimental agglomeration during pyrolysis, demonstrating a new approach to constructing anti-aggregated metal/carbon-based catalysts.
最长约 10秒,即可获得该文献文件

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
1秒前
1秒前
ding应助mei采纳,获得10
1秒前
sweety01233发布了新的文献求助10
1秒前
2秒前
9700发布了新的文献求助10
2秒前
科研通AI6.4应助麦香鱼采纳,获得10
2秒前
英俊的铭应助一颗西柚采纳,获得10
2秒前
Wilson发布了新的文献求助10
3秒前
大胆的白晴完成签到,获得积分10
3秒前
3秒前
4秒前
在水一方应助山野猫采纳,获得10
5秒前
5秒前
5秒前
6秒前
冷酷初蝶完成签到,获得积分10
6秒前
尊敬的日记本完成签到,获得积分10
6秒前
7秒前
无极微光应助什么都不想采纳,获得20
7秒前
7秒前
害羞的连虎完成签到,获得积分20
8秒前
8秒前
8秒前
8秒前
常文轩完成签到,获得积分10
8秒前
8秒前
9秒前
共享精神应助周小鱼采纳,获得10
9秒前
Susan完成签到,获得积分10
9秒前
9秒前
9秒前
一颗秋蝶发布了新的文献求助10
9秒前
冷酷的蓝莓完成签到 ,获得积分10
9秒前
zhuhongxia完成签到,获得积分10
9秒前
Wilson完成签到,获得积分10
10秒前
惠惠完成签到,获得积分10
10秒前
是小银鱼完成签到,获得积分10
10秒前
生动幻儿发布了新的文献求助10
10秒前
神勇灯泡发布了新的文献求助10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Multiple Self-States Drawing Technique 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7769000
求助须知:如何正确求助?哪些是违规求助? 9312108
关于积分的说明 20327166
捐赠科研通 7354154
什么是DOI,文献DOI怎么找? 3315878
关于科研通互助平台的介绍 2464873
邀请新用户注册赠送积分活动 2330442