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A gold@silica core-shell nanoparticle-based surface-enhanced Raman scattering biosensor for label-free glucose
Israa Al-Ogaidi1, Honglei Gou2, Abdul Kareem A Al-Kazaz3
1Department of Biotechnology, College of Science, University of Baghdad, Baghdad, Iraq; Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV 26506-6106, USA.
This study presents a novel surface-enhanced Raman scattering (SERS) biosensor using gold nanostar@silica nanoparticles and glucose oxidase (GOx) for sensitive glucose detection. The developed SERS biosensor offers a reliable method for glucose monitoring in various samples.
Area of Science:
- Nanotechnology
- Biochemistry
- Analytical Chemistry
Background:
- Glucose detection is crucial for managing diabetes and other metabolic disorders.
- Existing biosensors face challenges with sensitivity, selectivity, and interference.
- Surface-enhanced Raman scattering (SERS) offers high sensitivity for molecular detection.
Purpose of the Study:
- To develop a novel SERS biosensor for label-free glucose detection.
- To utilize gold nanostar@silica core-shell nanoparticles conjugated with glucose oxidase (GOx).
- To achieve sensitive and selective glucose quantification in aqueous solutions and potentially biological samples.
Main Methods:
- Fabrication of gold nanostar@silica core-shell nanoparticles.
- Conjugation of glucose oxidase (GOx) enzyme onto the nanoparticle surface.
- Utilizing the enzymatic reaction of GOx with glucose to produce H2O2.
- Employing SERS spectroscopy for signal generation and glucose concentration measurement.
Main Results:
- The developed SERS biosensor demonstrated a dynamic response to glucose concentrations ranging from 25 μM to 25 mM.
- A low limit of detection (LOD) of 16 μM for glucose was achieved.
- The biosensor showed no interference from ascorbic acid and uric acid, indicating high selectivity.
- The sensor's applicability was demonstrated in a saliva sample.
Conclusions:
- Gold nanostar@silica∼GOx nanoparticles serve as an effective SERS platform for label-free glucose detection.
- The developed biosensor exhibits high sensitivity, selectivity, and potential for real-world applications.
- This approach offers a promising alternative for glucose monitoring in clinical and research settings.
