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⁻¹ 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^-6 to 10^-3 M of UA characteristic peak of both 693 cm⁻¹ and 493 cm⁻¹ with a determination coefficient (R²) 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.

体液中尿酸（UA）含量异常可以充分反映机体代谢和免疫力的状况。我们开发了一种用于 UA 检测的简单、高效且无标记的表面增强拉曼散射 (SERS) 方法。简言之，对氨基苯硫酚 (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 -1}处的拉曼特征峰可作为内标分子校正UA检测的信号波动。结果表明，SERS 方法在693 cm ^-1和 493 cm ^-1处的 UA 特征峰具有 5 × 10 ^-6至 10 ^{-3 M 范围内的线性响应}决定系数 (R ² ) 分别为 0.9878 和 0.9649。此外，SERS传感器已进一步用于汗液中UA的分析，并获得了良好的汗液传感回收率。我们相信，所开发的 SERS 衬底具有应用于医疗保健监测的潜力。