IMR OpenIR
Grain-Boundary-Induced Ultrasensitive Molecular Detection of Graphene Film
Zhou, Tianya1,2; Xu, Chuan1,2; Ren, Wencai1,2
Corresponding AuthorRen, Wencai(wcren@imr.ac.cn)
2022-12-01
Source PublicationNANO LETTERS
ISSN1530-6984
Pages9
AbstractGraphene has been considered a promising platform for molecular detection due to the graphene-enhanced Raman scattering (GERS) effect. However, the GERS performance of pristine graphene is limited by a low chemically active surface and insufficient density of states (DOS). Although diverse defects have been introduced, it remains a great challenge to improve the enhancement performance. Here, we show that graphene grain boundaries (GBs) possess stronger adsorption capacity and more abundant DOS. Thus, GERS performance increases with the atomic percentage of GBs, which makes nanocrystalline graphene (NG) film a superior GERS substrate. For R6G as a probe molecule, a low detection limit of 3 x 10-10 M was achieved. Utilizing the high chemical activity of GBs, we also fabricated NG film decorated with Au particles using a one-step quenching strategy, and this hybrid film exhibits an extremely low limit of detection down to 5 x 10-11 M, outperforming all the reported graphene-based systems.
Keywordgrain boundary nanocrystalline graphene graphene-enhanced Raman scattering quenching molecular detection
Funding OrganizationNational Natural Science Foundation of China ; Key Research Program of Frontier Sciences of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; LiaoNing Revitalization Talents Program ; Guangdong Basic and Applied Basic Research Foundation ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Institute of Metal Research, Chinese Academy of Sciences
DOI10.1021/acs.nanolett.2c03218
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China ; Key Research Program of Frontier Sciences of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; LiaoNing Revitalization Talents Program ; Guangdong Basic and Applied Basic Research Foundation ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Institute of Metal Research, Chinese Academy of Sciences ; [51325205] ; [51290273] ; [52188101] ; [52122202] ; [ZDBS-LY-JSC027] ; [XDB30000000] ; [XLYC1808013] ; [2020B0301030002] ; [2018223] ; [2019000178]
WOS Research AreaChemistry ; Science & Technology - Other Topics ; Materials Science ; Physics
WOS SubjectChemistry, Multidisciplinary ; Chemistry, Physical ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Physics, Applied ; Physics, Condensed Matter
WOS IDWOS:000892636600001
PublisherAMER CHEMICAL SOC
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/176980
Collection中国科学院金属研究所
Corresponding AuthorRen, Wencai
Affiliation1.Chinese Acad Sci, Inst Met Res, Shenyang Natl Lab Mat Sci, Shenyang 110016, Peoples R China
2.Univ Sci & Technol China, Sch Mat Sci & Engn, Shenyang 110016, Peoples R China
Recommended Citation
GB/T 7714
Zhou, Tianya,Xu, Chuan,Ren, Wencai. Grain-Boundary-Induced Ultrasensitive Molecular Detection of Graphene Film[J]. NANO LETTERS,2022:9.
APA Zhou, Tianya,Xu, Chuan,&Ren, Wencai.(2022).Grain-Boundary-Induced Ultrasensitive Molecular Detection of Graphene Film.NANO LETTERS,9.
MLA Zhou, Tianya,et al."Grain-Boundary-Induced Ultrasensitive Molecular Detection of Graphene Film".NANO LETTERS (2022):9.
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
[Zhou, Tianya]'s Articles
[Xu, Chuan]'s Articles
[Ren, Wencai]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhou, Tianya]'s Articles
[Xu, Chuan]'s Articles
[Ren, Wencai]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhou, Tianya]'s Articles
[Xu, Chuan]'s Articles
[Ren, Wencai]'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.