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基于分子印迹的表面增强拉曼散射检测策略用于大尺寸蛋白质定量及抑制非特异性识别

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

作者信息

Chen Xuan, Ostovan Abbas, Arabi Maryam, Wang Yunqing, Chen Lingxin, Li Jinhua

机构信息

CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Shandong Key Laboratory of Coastal Environmental Processes, Shandong Research Center for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.

University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Anal Chem. 2024 Apr 23;96(16):6417-6425. doi: 10.1021/acs.analchem.4c00541. Epub 2024 Apr 12.

Abstract

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 × 10 μg L. Finally, the practical applicability of the RRIM is confirmed by accurately analyzing crude urban waterway samples over 21 min without any pretreatment.

摘要

从学术角度来看,基于分子印迹的表面增强拉曼散射(MI-SERS)传感器已显示出显著的潜力。然而,它们的实际应用,尤其是在检测大尺寸蛋白质(≥10 nm)方面,由于缺乏通用的传感策略以及基质物种的非特异性污染而面临挑战。在此,我们提出一种在涂覆于SERS活性基底上的蛋白质印迹聚多巴胺(PDA)层上实现的拉曼报告分子检测机制(RRIM)。在RRIM中,大尺寸蛋白质识别后,PDA印迹腔的渗透性会发生变化,拉曼报告分子会对其进行监测。目标蛋白质可以特异性结合并完全占据印迹腔,而基质物种则不能。然后,引入尺寸合适的拉曼报告分子,使其既作为识别状态的监测器又作为SERS信号的诱导剂,其只能穿透空的和非特异性填充的腔。因此,SERS信号的变化仅源于目标蛋白质的特异性结合,同时抑制了基质物种的非特异性识别。RRIM能够对大尺寸蓝藻特异性蛋白质模型(≥10 nm)藻蓝蛋白进行可重复定量,最低检测限可达2.6×10 μg L。最后,通过在无需任何预处理的情况下在21分钟内准确分析城市污水河道粗样品,证实了RRIM的实际适用性。

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