4.8 Article

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

Journal

BIOSENSORS & BIOELECTRONICS
Volume 175, Issue -, Pages -

Publisher

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2020.112918

Keywords

SERS sensor; Electrochemical regeneration; Hydrogen peroxide; Metabolites

Funding

  1. National Natural Science Foundation of China [21788102, 21777041, 21974046, 21977031]
  2. Science and Technology Commission of Shanghai Municipality [17520750100, 19391901700, 19520744000, 19ZR1472300]
  3. National Major Science and Technology Projects of China [2018ZX10302205]
  4. Fundamental Research Funds for the Central Universities

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The study developed an electrochemistry-regenerated surface-enhanced Raman scattering (SERS) sensor for detecting H2O2-involved metabolites with high selectivity and sensitivity. By modifying newly synthesized 2-mercaptohydroquinone molecules on the surface of gold nanoparticles, the sensor demonstrated effectiveness in detecting glucose and uric acid, and maintained high SERS activity even after multiple regenerations. This SERS sensor offers a new platform for detecting H2O2-involved metabolites in biological fluids, potentially aiding in the early diagnosis of metabolism-related diseases.
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.

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