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Glucose sandwich assay based on surface-enhanced Raman spectroscopy
Tingting Zhang1, Rui Lu1, Gongying Wang1
1Jiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing 210094, People's Republic of China. rlu@njust.edu.cn.
The Analyst
|July 20, 2023
Summary
A new surface-enhanced Raman scattering (SERS) assay offers sensitive and selective glucose detection in urine. This reusable diagnostic tool utilizes specific molecular interactions for accurate glucose sensing.
Area of Science:
- Nanotechnology
- Analytical Chemistry
- Biomedical Engineering
Background:
- Accurate glucose monitoring is crucial for managing diabetes.
- Existing methods for glucose detection can suffer from limited sensitivity or interference.
- Development of novel biosensing platforms is needed for improved clinical diagnostics.
Purpose of the Study:
- To develop a facile and highly sensitive glucose sandwich assay using surface-enhanced Raman scattering (SERS).
- To achieve selective glucose detection in complex biological matrices like urine.
- To evaluate the reusability and clinical applicability of the developed SERS assay.
Main Methods:
- Utilized 3-aminophenyl boronic acid (APBA) modified silver nanoparticles (Ag NPs) for glucose capture.
- Employed Ag NPs modified with 3-amino-6-ethynylpicolinonitrile (AEPO) and APBA as SERS tags.
- Leveraged the specific cis-diol binding of APBA for selective glucose recognition and AEPO as a Raman reporter in a silent region.
Main Results:
- Achieved high sensitivity for glucose detection down to 10-11 M.
- Demonstrated selective detection of glucose, avoiding interference from other saccharides and biomolecules in urine.
- Confirmed the reusability of the SERS assay and its successful application in artificial urine samples.
Conclusions:
- The developed SERS assay provides a sensitive, selective, and reusable method for glucose sensing.
- The assay shows significant potential as a diagnostic tool for clinical applications in glucose monitoring.
- This innovative nanotechnology offers a promising approach for future biosensing technologies.
