二维玻璃/p-ATP/银纳米粒子作为多功能表面增强拉曼散射基底用于汗液中尿酸的无标记定量分析。

Two-dimensional glass/p-ATP/Ag NPs as multifunctional SERS substrates for label-free quantification of uric acid in sweat.

作者信息

Lu Dechan, Cai Rongyuan, Liao Yuqin, You Ruiyun, Lu Yudong

机构信息

College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Fujian Normal University, Fuzhou, Fujian 350007, China; College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Advanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Fujian Normal University, Fuzhou, Fujian 350007, China.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2023 Aug 5;296:122631. doi: 10.1016/j.saa.2023.122631. Epub 2023 Mar 22.

DOI:10.1016/j.saa.2023.122631

PMID:37037174

Abstract

Abnormal uric acid (UA) content in body fluids can fully reflect the status of metabolism and immunity in the body. We have developed a simple, efficient and label-free surface enhanced Raman scattering (SERS) method for UA detection. Briefly, p-aminothiophenol (p-ATP) was used as the internal standard molecule and linking molecule to prepare a glass/p-ATP/Ag NPs SERS substrate. The Raman characteristic peak of p-ATP at 1076 cm can be used as an internal standard molecule to correct the signal fluctuation of UA detection. The results show that the SERS method owns a linear response with a ranging from 5 × 10 to 10 M of UA characteristic peak of both 693 cm and 493 cm with a determination coefficient (R) of 0.9878 and 0.9649, respectively. Additionally, the SERS sensor has been further used for the analysis of UA in sweat and good recoveries were obtained for the sensing of sweat. We believe that the developed SERS substrate has potential for applications in healthcare monitoring.

摘要

体液中尿酸（UA）含量异常能够充分反映机体的代谢和免疫状况。我们开发了一种用于尿酸检测的简单、高效且无标记的表面增强拉曼散射（SERS）方法。简要地说，对氨基硫酚（p-ATP）用作内标分子和连接分子，以制备玻璃/p-ATP/Ag NPs SERS基底。p-ATP在1076 cm处的拉曼特征峰可作为内标分子来校正尿酸检测的信号波动。结果表明，SERS方法对于693 cm和493 cm处尿酸特征峰在5×10至10 M范围内具有线性响应，测定系数（R）分别为0.9878和0.9649。此外，SERS传感器已进一步用于汗液中尿酸的分析，并且在汗液传感中获得了良好的回收率。我们相信所开发的SERS基底在医疗监测方面具有应用潜力。