Residential Collegefalse
Status已發表Published
Isotopic graphene-isolated-Au-nanocrystals with cellular Raman-silent signals for cancer cell pattern recognition
Zou, Yuxiu1; Huang, Siqi1; Liao, Yixin1; Zhu, Xupeng1; Chen, Yiqin1; Chen, Long2; Liu, Fang1; Hu, Xiaoxiao1; Tu, Haijun1; Zhang, Liang1; Liu, Zhangkun1; Chen, Zhuo1; Tan, Weihong1,3
2018-03-14
Source PublicationCHEMICAL SCIENCE
ISSN2041-6520
Volume9Issue:10Pages:2842-2849
Abstract

For cancer diagnosis, technologies must be capable of molecular recognition, and they must possess a built-in pattern recognition component for efficient imaging and discrimination of targeted cancer cells. Surface enhanced Raman scattering (SERS) tags based on plasmonically active nanoparticles hold promise for accurate and efficient cancer cell recognition, owing to ultra-narrow peak and sensitive optical properties. However, a complex fingerprint spectrum increases data analysis difficulty, making it necessary to develop multicolor SERS tags with a simple fingerprint spectrum. To address this, we herein fabricated SERS-encoded nanoparticles (NPs) with stable and simple fingerprint spectrum through synthesis of isotopic cellular Raman-silent graphene-isolated-Au-nanocrystals (GIANs) and conjugation with phospholipid-polyethylene glycol-linked aptamers to target proteins overexpressed on the cancer cell surface. GIANs, which possess the properties of graphitic nanomaterials, such as super-stable optical properties and high Raman cross-section, showed enhanced SERS signals. The 2D-band Raman shift of GIAN, which located in the cellular Raman-silent region, was easily regulated through fabrication of isotopic GIANs without changing their molecular structure. Such GIAN tags demonstrated multiplexed Raman imaging capability, both in vivo and in vitro, with low background interference. Moreover, cell membrane protein (nucleolin, mucin and epithelial cell adhesion molecule)-specific, aptamer-conjugated isotopic GIANs were fabricated and feasibly applied to built-in coding for rapid imaging and pattern recognition of targeted cancer cells. Such isotopic GIAN-aptamer-encoders show high potential for efficient cancer cell identification and diagnosis.

DOI10.1039/c7sc05442d
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaChemistry
WOS IDWOS:000431100300024
PublisherROYAL SOC CHEMISTRY
The Source to ArticleWOS
Scopus ID2-s2.0-85043478011
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorChen, Zhuo
Affiliation1.Hunan University
2.University of Macau
3.University of Florida
Recommended Citation
GB/T 7714
Zou, Yuxiu,Huang, Siqi,Liao, Yixin,et al. Isotopic graphene-isolated-Au-nanocrystals with cellular Raman-silent signals for cancer cell pattern recognition[J]. CHEMICAL SCIENCE, 2018, 9(10), 2842-2849.
APA Zou, Yuxiu., Huang, Siqi., Liao, Yixin., Zhu, Xupeng., Chen, Yiqin., Chen, Long., Liu, Fang., Hu, Xiaoxiao., Tu, Haijun., Zhang, Liang., Liu, Zhangkun., Chen, Zhuo., & Tan, Weihong (2018). Isotopic graphene-isolated-Au-nanocrystals with cellular Raman-silent signals for cancer cell pattern recognition. CHEMICAL SCIENCE, 9(10), 2842-2849.
MLA Zou, Yuxiu,et al."Isotopic graphene-isolated-Au-nanocrystals with cellular Raman-silent signals for cancer cell pattern recognition".CHEMICAL SCIENCE 9.10(2018):2842-2849.
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
[Zou, Yuxiu]'s Articles
[Huang, Siqi]'s Articles
[Liao, Yixin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zou, Yuxiu]'s Articles
[Huang, Siqi]'s Articles
[Liao, Yixin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zou, Yuxiu]'s Articles
[Huang, Siqi]'s Articles
[Liao, Yixin]'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.