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Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates
Published on: March 20, 2015
Gold colloid-bienzyme conjugates for glucose detection utilizing surface-enhanced Raman scattering.
Zai-Sheng Wu1, Gu-Zhen Zhou, Jian-Hui Jiang
1State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, PR China.
Talanta
|October 31, 2008
Summary
This study presents a novel surface-enhanced Raman spectroscopy (SERS) method for glucose detection using enzyme-modified gold colloids. The technique efficiently detects glucose by analyzing the SERS signal of a reaction product, overcoming previous limitations.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Spectroscopy
Background:
- Detecting glucose via surface-enhanced Raman spectroscopy (SERS) is challenging due to low Raman cross-section and weak glucose adsorption.
- Existing methods struggle with sensitivity and specificity for glucose monitoring.
Purpose of the Study:
- To develop a simple, fast, and sensitive SERS-based method for glucose detection.
- To circumvent the limitations of direct glucose detection using SERS.
Main Methods:
- Utilized gold colloids functionalized with horseradish peroxidase and glucose oxidase (HRP/GOD-gold colloids).
- Introduced o-phenylenediamine and glucose to react at room temperature.
- Measured the SERS signal of the generated azoaniline product adsorbed on gold colloids.
Main Results:
- Generated azoaniline, a compound with strong Raman scattering, enabling sensitive detection.
- Achieved a dynamic signal range of 0.50–32 mM, encompassing the clinical blood glucose range (3.5–6.1 mM).
- Established a detection limit of approximately 0.46 mM with no significant interference from proteins.
Conclusions:
- The proposed HRP/GOD-gold colloid-based SERS method offers a viable approach for glucose detection.
- This technique effectively overcomes the challenges associated with direct glucose SERS analysis.
- The method demonstrates potential for accurate and reliable glucose monitoring in biological samples.
