用于生物传感的单分子表面增强拉曼光谱（SERS）的研究进展

IF 2.7 3区化学 Q2 CHEMISTRY, ANALYTICAL

Vibrational Spectroscopy Pub Date : 2025-03-03 DOI:10.1016/j.vibspec.2025.103784

Huaizhou Jin , Yanlong Cai , Chenhui Song , Shangzhong Jin , Qiang Lin

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引用次数: 0

摘要

单分子（SM）检测和操作已经彻底改变了生物传感领域，使人们对生物分子的异质性、动力学和相互作用有了前所未有的了解。本文综述了单分子表面增强拉曼光谱（SM-SERS）技术和方法的最新进展，并研究了四种主要方法：双分析物表面增强拉曼光谱（BiASERS）、等离子体捕获、纳米孔/狭缝和化学结合。我们将讨论这些技术的发展以及等离子体纳米结构的制造和应用，并将探索这些方法的集成。此外，我们将讨论SM- sers和SM事件确认的挑战和未来前景，重点是提高灵敏度，再现性和探测亚埃分子动力学的能力，以便提供一个全面的概述。

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Advances in single-molecule surface-enhanced Raman spectroscopy (SERS) for biosensing

Single-molecule (SM) detection and manipulation have revolutionized the field of biosensing, enabling unprecedented insights into the heterogeneity, dynamics, and interactions of biomolecules. This review focuses on the latest advances in single molecule Surface Enhanced Raman Spectroscopy (SM-SERS) techniques and approaches to confirm SM events, and examines four major approaches: bi-analyte SERS (BiASERS), plasmonic trapping, nanopore/slits, and chemical binding. We will discuss the development of these techniques as well as fabrication and application plasmonic nanostructures, and will explore the integration of these methods. Furthermore, we will discuss the challenges and future perspectives in the SM-SERS and the confirmation of SM events, focusing on improving sensitivity, reproducibility, and the ability to probe sub-angstrom molecular dynamics in order to provide a comprehensive overview.

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来源期刊

Vibrational Spectroscopy 化学-分析化学

CiteScore

4.70

自引率

4.00%

发文量

103

审稿时长

52 days

期刊介绍： Vibrational Spectroscopy provides a vehicle for the publication of original research that focuses on vibrational spectroscopy. This covers infrared, near-infrared and Raman spectroscopies and publishes papers dealing with developments in applications, theory, techniques and instrumentation. The topics covered by the journal include: Sampling techniques, Vibrational spectroscopy coupled with separation techniques, Instrumentation (Fourier transform, conventional and laser based), Data manipulation, Spectra-structure correlation and group frequencies. The application areas covered include: Analytical chemistry, Bio-organic and bio-inorganic chemistry, Organic chemistry, Inorganic chemistry, Catalysis, Environmental science, Industrial chemistry, Materials science, Physical chemistry, Polymer science, Process control, Specialized problem solving.