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基于银纳米粒子的 SERS 传感器用于生物流体中淀粉样β聚集物的灵敏检测。

Silver nanoparticle-based SERS sensors for sensitive detection of amyloid-β aggregates in biological fluids.

机构信息

Chemistry Department, Lomonosov Moscow State University, Moscow, Russia.

Chemistry Department, Lomonosov Moscow State University, Moscow, Russia.

出版信息

Talanta. 2024 Jan 1;266(Pt 1):124970. doi: 10.1016/j.talanta.2023.124970. Epub 2023 Jul 20.

Abstract

One of the hallmarks of Alzheimer's disease (AD) pathogenesis is the production, aggregation, and deposition of amyloid-β (Aβ) peptide. Surface-enhanced Raman spectroscopy (SERS) is a promising analytical technique capable of providing valuable information on chemical composition and molecule conformations in biological samples. However, one of the main challenges for introducing the SERS technique into the practice is preparation of scalable and at the same time stable nanostructured sensors with uniform spatial distribution of nanoparticles. Herein, we propose SERS platforms for reproducible, sensitive, label-free quantification of amyloid-β aggregates for short-wavelength - 532 and 633 nm - lasers. A SERS sensor - based on silver nanoparticles immobilized into a chitosan film (AgNP/CS) - provided a uniform distribution of AgNPs from a colloidal suspension across the SERS sensor, resulting in nanomolar limits of detection (LODs) for Aβ42 aggregates with a portable 532 nm laser. The laser-induced deposition was used to obtain denser periodic plasmonic sensors (AgNP/LID) with a uniform nanoparticle distribution. The AgNP/LID SERS sensor allowed for 15 pM LOD for Aβ42 aggregates with 633 nm laser. Notably, both nanostructured substrates allowed to distinguish amyloid aggregates from monomers. Therefore, our approach demonstrated applicability of SERS for detection of macromolecular volumetric objects as amyloid-β aggregates for fundamental biological studies as well as for "point-of-care" diagnostics and screening for early stages of neurodegenerative diseases.

摘要

阿尔茨海默病(AD)发病机制的特征之一是淀粉样β(Aβ)肽的产生、聚集和沉积。表面增强拉曼光谱(SERS)是一种很有前途的分析技术,能够提供生物样本中化学成分和分子构象的有价值信息。然而,将 SERS 技术引入实践的主要挑战之一是制备可扩展且同时具有稳定纳米结构传感器,其具有纳米颗粒的均匀空间分布。在此,我们提出了用于短波长(532nm 和 633nm)激光的可重现、灵敏、无标记的淀粉样β聚集物定量的 SERS 平台。基于银纳米粒子固定在壳聚糖膜中的 SERS 传感器(AgNP/CS)提供了胶体悬浮液中 AgNP 在 SERS 传感器上的均匀分布,从而实现了对 Aβ42 聚集物的纳摩尔检测限(LOD),使用便携式 532nm 激光。激光诱导沉积用于获得具有均匀纳米粒子分布的更密集的周期性等离子体传感器(AgNP/LID)。AgNP/LID SERS 传感器允许用 633nm 激光检测到 15pM 的 Aβ42 聚集物的 LOD。值得注意的是,这两种纳米结构基底都能够区分淀粉样蛋白聚集物和单体。因此,我们的方法证明了 SERS 可用于检测作为淀粉样β聚集物的大分子体积物体,用于基础生物学研究以及用于神经退行性疾病的“即时诊断”和早期阶段的筛选。

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