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Molecular Imprinting-Based SERS Detection Strategy for the Large-Size Protein Quantitation and Curbing Non-Specific Recognition

文献类型：期刊论文

作者Chen, Xuan2,3; Ostovan, Abbas3; Arabi, Maryam3; Wang, Yunqing3; Chen, Lingxin1,3; Li, Jinhua1,2,3
刊名ANALYTICAL CHEMISTRY
出版日期2024-04-12
卷号96期号:16页码:6417-6425
ISSN号0003-2700
DOI10.1021/acs.analchem.4c00541
通讯作者Arabi, Maryam(m.arabi@yic.ac.cn) ; Li, Jinhua(jhli@yic.ac.cn)
英文摘要Molecular imprinting-based surface-enhanced Raman scattering (MI-SERS) sensors have shown remarkable potential from an academic standpoint. However, their practical applications, especially in the detection of large-size protein (>= 10 nm), face challenges due to the lack of versatile sensing strategies and nonspecific fouling of matrix species. Herein, we propose a Raman reporter inspector mechanism (RRIM) implemented on a protein-imprinted polydopamine (PDA) layer coated on the SERS active substrate. In the RRIM, after large-size protein recognition, the permeability of the PDA imprinted cavities undergoes changes that are scrutinized by Raman reporter molecules. Target proteins can specifically bind and fully occupy the imprinted cavities, whereas matrix species cannot. Then, Raman reporter molecules with suitable size are introduced to serve as both inspectors of the recognition status and inducers of the SERS signal, which can only penetrate through the vacant and nonspecifically filled cavities. Consequently, changes in the SERS signal exclusively originate from the specific binding of target proteins, while the nonspecific recognition of matrix species is curbed. The RRIM enables reproducible quantitation of the large-size cyanobacteria-specific protein model (>= 10 nm), phycocyanin, at the level down to 2.6 x 10-3 mu g L-1. Finally, the practical applicability of the RRIM is confirmed by accurately analyzing crude urban waterway samples over 21 min without any pretreatment.
WOS研究方向Chemistry
语种英语
WOS记录号WOS:001203965500001
资助机构National Natural Science Foundation of China ; National Nature Science Foundation of China ; Shandong Provincial Natural Science Foundation of China ; Taishan Scholar Project Special Funding
源URL[http://ir.yic.ac.cn/handle/133337/36136]  
专题烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
烟台海岸带研究所_山东省海岸带环境工程技术研究中心
通讯作者Arabi, Maryam; Li, Jinhua
作者单位1.Qingdao Marine Sci & Technol Ctr, Lab Marine Biol & Biotechnol, Qingdao 266237, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Shandong Res Ctr Coastal Environm Engn & Technol, CAS Key Lab Coastal Environm Proc & Ecol Remediat,, Yantai 264003, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Xuan,Ostovan, Abbas,Arabi, Maryam,et al. Molecular Imprinting-Based SERS Detection Strategy for the Large-Size Protein Quantitation and Curbing Non-Specific Recognition[J]. ANALYTICAL CHEMISTRY,2024,96(16):6417-6425.
APA Chen, Xuan,Ostovan, Abbas,Arabi, Maryam,Wang, Yunqing,Chen, Lingxin,&Li, Jinhua.(2024).Molecular Imprinting-Based SERS Detection Strategy for the Large-Size Protein Quantitation and Curbing Non-Specific Recognition.ANALYTICAL CHEMISTRY,96(16),6417-6425.
MLA Chen, Xuan,et al."Molecular Imprinting-Based SERS Detection Strategy for the Large-Size Protein Quantitation and Curbing Non-Specific Recognition".ANALYTICAL CHEMISTRY 96.16(2024):6417-6425.

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来源：烟台海岸带研究所

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