中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Construction of Optimal SERS Hotspots Based on Capturing the Spike Receptor-Binding Domain (RBD) of SARS-CoV-2 for Highly Sensitive and Specific Detection by a Fish Model

文献类型:期刊论文

作者Huang, Guangyao1,2,3,4; Zhao, Hongxin5; Li, Pan1,2; Liu, Juanjuan5; Chen, Siyu1,2,3; Ge, Meihong1,2,3; Qin, Miao1,2,3; Zhou, Guoliang1,2,3; Wang, Yongtao1,2,3; Li, Shaofei1,2,3
刊名ANALYTICAL CHEMISTRY
出版日期2021-12-07
卷号93
ISSN号0003-2700
DOI10.1021/acs.analchem.1c03807
通讯作者Li, Pan(lipan2011@iim.ac.cn) ; Wang, Hongzhi(wanghz@hfcas.ac.cn) ; Yang, Liangbao(lbyang@iim.ac.cn)
英文摘要It is highly challenging to construct the best SERS hotspots for the detection of proteins by surface-enhanced Raman spectroscopy (SERS). Using its own characteristics to construct hotspots can achieve the effect of sensitivity and specificity. In this study, we built a fishing mode device to detect the receptor-binding domain (RBD) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at low concentrations in different detection environments and obtained a sensitive SERS signal response. Based on the spatial resolution of proteins and their protein-specific recognition functions, SERS hotspots were constructed using aptamers and small molecules that can specifically bind to RBD and cooperate with Au nanoparticles (NPs) to detect RBD in the environment using SERS signals of beacon molecules. Therefore, two kinds of AuNPs modified with aptamers and small molecules were used in the fishing mode device, which can specifically recognize and bind RBD to form a stable hotspot to achieve high sensitivity and specificity for RBD detection. The fishing mode device can detect the presence of RBD at concentrations as low as 0.625 ng/mL and can produce a good SERS signal response within 15 min. Meanwhile, we can detect an RBD of 0.625 ng/mL in the mixed solution with various proteins, and the concentration of RBD in the complex environment of urine and blood can be as low as 1.25 ng/mL. This provides a research basis for SERS in practical applications for protein detection work.
WOS关键词ENHANCED RAMAN-SCATTERING ; FUNCTIONALIZED ACUPUNCTURE NEEDLE ; NANOPARTICLES ; DISCOVERY ; RELEASE ; SENSOR
资助项目National Natural Science Foundation of China[21974142] ; Sci-tech Police Project of Anhui Province[201904d07020009] ; Nature Science Research Project of Anhui Province[1908085QB65] ; Anhui Provincial Key RD Programm[202104d07020002]
WOS研究方向Chemistry
语种英语
WOS记录号WOS:000753022600035
出版者AMER CHEMICAL SOC
资助机构National Natural Science Foundation of China ; Sci-tech Police Project of Anhui Province ; Nature Science Research Project of Anhui Province ; Anhui Provincial Key RD Programm
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/127609]  
专题中国科学院合肥物质科学研究院
通讯作者Li, Pan; Wang, Hongzhi; Yang, Liangbao
作者单位1.Chinese Acad Sci, Inst Hlth & Med Technol, Hefei 230031, Peoples R China
2.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
3.Univ Sci & Technol China, Hefei 230026, Peoples R China
4.Chinese Acad Sci, Canc Hosp, Hefei 230031, Peoples R China
5.Chinese Acad Sci, High Magnet Field Sci Ctr, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
6.Fudan Univ, Multiscale Res Inst Complex Syst, Shanghai 201203, Peoples R China
推荐引用方式
GB/T 7714
Huang, Guangyao,Zhao, Hongxin,Li, Pan,et al. Construction of Optimal SERS Hotspots Based on Capturing the Spike Receptor-Binding Domain (RBD) of SARS-CoV-2 for Highly Sensitive and Specific Detection by a Fish Model[J]. ANALYTICAL CHEMISTRY,2021,93.
APA Huang, Guangyao.,Zhao, Hongxin.,Li, Pan.,Liu, Juanjuan.,Chen, Siyu.,...&Yang, Liangbao.(2021).Construction of Optimal SERS Hotspots Based on Capturing the Spike Receptor-Binding Domain (RBD) of SARS-CoV-2 for Highly Sensitive and Specific Detection by a Fish Model.ANALYTICAL CHEMISTRY,93.
MLA Huang, Guangyao,et al."Construction of Optimal SERS Hotspots Based on Capturing the Spike Receptor-Binding Domain (RBD) of SARS-CoV-2 for Highly Sensitive and Specific Detection by a Fish Model".ANALYTICAL CHEMISTRY 93(2021).

入库方式: OAI收割

来源:合肥物质科学研究院

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