IMR OpenIR
Bottom-Up Approach Derived Iron and Nitrogen Cofunctionalized Carbon as Efficient Renewable Catalyst for Selective Reduction of Nitroarenes
Wu, Shuchang3; Wen, Guodong1; Su, Yang2; Pan, Xiaoli2; Yan, Hua3; Diao, Jiangyong1; Liu, Hongyang1
Corresponding AuthorWu, Shuchang(scwu10b@alum.imr.ac.cn) ; Diao, Jiangyong(jydiao@imr.ac.cn) ; Liu, Hongyang(liuhy@imr.ac.cn)
2021-03-11
Source PublicationJOURNAL OF PHYSICAL CHEMISTRY C
ISSN1932-7447
Volume125Issue:9Pages:5127-5135
AbstractThe non-noble metal and nitrogen cofunctionalized carbon (M-N-C) attract enormous attentions in heterogeneous catalysis. However, the fabrication of the M-N-C systems commonly rely on fossil resource based carbon, while the exploitation of biomass derived materials often suffer from issues such as tedious procedures, complex composition of the biomass and excessive dosage of the dopant precursor. In this study, a direct and large-scale, bottom-up method was developed for the fabrication of the sustainable iron and nitrogen cofunctionalized carbon (FeNC) in a green and sustainable way. The obtained FeNC possessed well-defined structure as well as uniformly distributed iron species. The catalytic results suggested that FeNC could serve as efficient catalyst for the selective reduction of nitroarenes. The FeNx species played an important role, while the N-doped carbon matrix may also involve in the reaction.
Funding OrganizationNational Key R&D Program of China ; National Natural Science Foundation of China ; Liaoning Revitalization Talents Program ; Sinopec China ; Guangxi Key Laboratory of Information Materials (Guilin University of Electronic Technology) ; Zhejiang Provincial Natural Science Foundation of China ; Taizhou Science and Technology Planning Project
DOI10.1021/acs.jpcc.1c00620
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2016YFA0204100] ; National Natural Science Foundation of China[91845201] ; National Natural Science Foundation of China[21961160722] ; National Natural Science Foundation of China[21703261] ; Liaoning Revitalization Talents Program[XLYC1907055] ; Sinopec China ; Guangxi Key Laboratory of Information Materials (Guilin University of Electronic Technology)[191005-K] ; Zhejiang Provincial Natural Science Foundation of China[LQ20B060001] ; Taizhou Science and Technology Planning Project[1902gy20]
WOS Research AreaChemistry ; Science & Technology - Other Topics ; Materials Science
WOS SubjectChemistry, Physical ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary
WOS IDWOS:000629169900022
PublisherAMER CHEMICAL SOC
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/161544
Collection中国科学院金属研究所
Corresponding AuthorWu, Shuchang; Diao, Jiangyong; Liu, Hongyang
Affiliation1.Chinese Acad Sci, Inst Met Res, Shenyang 110016, Peoples R China
2.Chinese Acad Sci, Dalian Inst Chem Phys, Dalian 116023, Peoples R China
3.Taizhou Univ, Sch Pharmaceut & Mat Engn, Taizhou 318000, Zhejiang, Peoples R China
Recommended Citation
GB/T 7714
Wu, Shuchang,Wen, Guodong,Su, Yang,et al. Bottom-Up Approach Derived Iron and Nitrogen Cofunctionalized Carbon as Efficient Renewable Catalyst for Selective Reduction of Nitroarenes[J]. JOURNAL OF PHYSICAL CHEMISTRY C,2021,125(9):5127-5135.
APA Wu, Shuchang.,Wen, Guodong.,Su, Yang.,Pan, Xiaoli.,Yan, Hua.,...&Liu, Hongyang.(2021).Bottom-Up Approach Derived Iron and Nitrogen Cofunctionalized Carbon as Efficient Renewable Catalyst for Selective Reduction of Nitroarenes.JOURNAL OF PHYSICAL CHEMISTRY C,125(9),5127-5135.
MLA Wu, Shuchang,et al."Bottom-Up Approach Derived Iron and Nitrogen Cofunctionalized Carbon as Efficient Renewable Catalyst for Selective Reduction of Nitroarenes".JOURNAL OF PHYSICAL CHEMISTRY C 125.9(2021):5127-5135.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wu, Shuchang]'s Articles
[Wen, Guodong]'s Articles
[Su, Yang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wu, Shuchang]'s Articles
[Wen, Guodong]'s Articles
[Su, Yang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wu, Shuchang]'s Articles
[Wen, Guodong]'s Articles
[Su, Yang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.