Institute of Forensic Medicine and Laboratory Medicine, Jining Medical University, Jining 272067, China.
School of Life Science, Huzhou University, Huzhou 313000, China.
Molecules. 2023 Dec 5;28(24):7939. doi: 10.3390/molecules28247939.
A Ag@AuNP-functionalized capillary-based surface-enhanced Raman scattering (SERS) sensing platform for the interference-free detection of glucose using SERS tags with a built-in nitrile signal has been proposed in this work. Capillary-based SERS capture substrates were prepared by connecting 4-mercaptophenylboronic acid (MBA) to the surface of the Ag@AuNP layer anchored on the inner wall of the capillaries. The SERS tags with a built-in interference-free signal could then be fixed onto the Ag@AuNP layer of the capillary-based capture substrate based on the distinguished feature of glucose, which can form a bidentate glucose-boronic complex. Thus, many "hot spots" were formed, which produced an improved SERS signal. The quantitative analysis of glucose levels was realized using the interference-free SERS intensity of nitrile at 2222 cm, with a detection limit of about 0.059 mM. Additionally, the capillary-based disposable SERS sensing platform was successfully employed to detect glucose in artificial urine, and the new strategy has great potential to be further applied in the diagnosis and control of diabetes.
本文提出了一种 Ag@AuNP 功能化的基于毛细管的表面增强拉曼散射(SERS)传感平台,用于使用内置腈信号的 SERS 标签进行无干扰的葡萄糖检测。通过将 4-巯基苯硼酸(MBA)连接到固定在毛细管内壁上的 Ag@AuNP 层表面,制备了基于毛细管的 SERS 捕获基底。然后,基于葡萄糖的独特性质,将内置无干扰信号的 SERS 标签固定在基于毛细管的捕获基底的 Ag@AuNP 层上,葡萄糖可以形成双齿葡萄糖-硼酸络合物。因此,形成了许多“热点”,产生了增强的 SERS 信号。通过使用 2222cm-1 处腈的无干扰 SERS 强度实现了葡萄糖水平的定量分析,检测限约为 0.059mM。此外,基于毛细管的一次性 SERS 传感平台成功地用于检测人工尿液中的葡萄糖,该新策略在糖尿病的诊断和控制方面具有很大的应用潜力。