Chio Weng-I Katherine, Davison Gemma, Jones Tabitha, Liu Jia, Parkin Ivan P, Lee Tung-Chun
Department of Chemistry, University College London (UCL).
Department of Chemistry, University College London (UCL); Institute for Materials Discovery, University College London (UCL);
J Vis Exp. 2020 Oct 3(164). doi: 10.3791/61682.
This work describes a rapid and highly sensitive method for the quantitative detection of an important biomarker, uric acid (UA), via surface-enhanced Raman spectroscopy (SERS) with a low detection limit of ~0.2 μM for multiple characteristic peaks in the fingerprint region, using a modular spectrometer. This biosensing scheme is mediated by the host-guest complexation between a macrocycle, cucurbit[7]uril (CB7), and UA, and the subsequent formation of precise plasmonic nanojunctions within the self-assembled Au NP: CB7 nanoaggregates. A facile Au NP synthesis of desirable sizes for SERS substrates has also been performed based on the classical citrate-reduction approach with an option to be facilitated using a lab-built automated synthesizer. This protocol can be readily extended to multiplexed detection of biomarkers in body fluids for clinical applications.
这项工作描述了一种通过表面增强拉曼光谱（SERS）定量检测重要生物标志物尿酸（UA）的快速且高度灵敏的方法。使用模块化光谱仪，指纹区域多个特征峰的检测限低至约0.2 μM。这种生物传感方案由大环化合物葫芦[7]脲（CB7）与UA之间的主客体络合介导，随后在自组装的金纳米颗粒：CB7纳米聚集体中形成精确的等离子体纳米结。还基于经典的柠檬酸盐还原方法进行了适合SERS底物的理想尺寸金纳米颗粒的简便合成，并可选择使用实验室自制的自动合成仪来促进合成。该方案可轻松扩展至用于临床应用的体液中生物标志物的多重检测。
