文献类型：期刊文献

英文题名：Electrochemically renewable SERS sensor: A new platform for the detection of metabolites involved in peroxide production

作者：Jiang, Lei[1];Wang, Lu[1];Zhan, De-Sheng[1];Jiang, Wen-Rong[2];Fodjo, Essy Kouadio[1];Hafez, Mahmoud Elsayed[1];Zhang, Yan-Mei[2];Zhao, Hu[2];Qian, Ruo-Can[1];Li, Da-Wei[1]

机构：[1]East China Univ Sci & Technol, Frontiers Sci Ctr Materiobiol & Dynam Chem, Shanghai Key Lab Funct Mat Chem, Key Lab Adv Mat,Joint Int Lab Precis Chem,Sch Che, Shanghai 200237, Peoples R China;[2]Fudan Univ, Huadong Hosp, Dept Lab Med, Shanghai 200040, Peoples R China

年份：2021

卷号：175

外文期刊名：BIOSENSORS & BIOELECTRONICS

收录：;EI(收录号：20210109719654);WOS:【SCI-EXPANDED(收录号:WOS:000612040700001)】；

基金：We appreciate the financial support from the National Natural Science Foundation of China (Grant No. 21788102, 21777041, 21974046, 21977031), Science and Technology Commission of Shanghai Municipality (Grant No. 17520750100, 19391901700, 19520744000, 19ZR1472300), National Major Science and Technology Projects of China (2018ZX10302205) and the Fundamental Research Funds for the Central Universities.

语种：英文

外文关键词：SERS sensor; Electrochemical regeneration; Hydrogen peroxide; Metabolites

摘要：The accurate detection of hydrogen peroxide (H2O2)-involved metabolites plays a significant role in the early diagnosis of metabolism-associated diseases, whereas most of current metabolite-sensing systems are often hindered by low sensitivity, interference of coexisting species, or tedious preparation. Herein, an electrochemistry-regenerated surface-enhanced Raman scattering (SERS) sensor was developed to serve as a universal platform for detecting H2O2-involved metabolites. The SERS sensor was constructed by modifying newly synthesized 2-mercaptohydroquinone (2-MHQ) molecules on the surface of gold nanoparticles (AuNPs) that were electrochemically predeposited on an ITO electrode. Metabolites were detected through the changes in the SERS spectrum as a result of the reaction of 2-MHQ with H2O2 induced by the metabolites. Combining the superiority of SERS fingerprint identification and the specificity of the related enzymatic reactions producing H2O2, the designed SERS sensor was highly selective in detecting glucose and uric acid as models of H2O2-involved metabolite with limits of detection (LODs) of 0.159 mu M and 0.0857 mu M, respectively. Moreover, the sensor maintained a high SERS activity even after more than 10 electrochemical regenerations within 2 min, demonstrating its effectiveness for the rapid detection of various metabolites with electrochemistry-driven regulation. Importantly, the presented SERS sensor showed considerable practicability for the detection of metabolites in real serum samples. Accordingly, the SERS sensor is a new detection platform for H2O2-involved metabolites detection in biological fluids, which may aid the early diagnosis of metabolism-related diseases.