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Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates
Published on: March 20, 2015
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Chiral sensing of glucose by surface-enhanced Raman spectroscopy
1Department of Chemistry, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju, 61005, Republic of Korea.
Analytica Chimica Acta
|November 3, 2024
Summary
This study demonstrates chiral sensing of glucose using surface-enhanced Raman scattering (SERS) with phenylalanine on gold nanoparticles. Chirally matching glucose induced specific spectral changes, enabling quantitative detection.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Biochemistry
Background:
- Chiral-selective molecular interactions are vital in biological processes.
- Sensitive chiral analytical methods for biomolecules are highly sought after.
- Existing surface-enhanced Raman scattering (SERS) chiral sensing methods lack molecular-level understanding.
Purpose of the Study:
- To investigate chiral sensing of glucose using SERS.
- To understand the molecular mechanisms behind SERS spectral changes in chiral detection.
- To develop a quantitative SERS-based method for glucose enantiomer detection.
Main Methods:
- Synthesis of colloidal gold nanoparticles (AuNPs) using borohydride ions.
- Utilizing L- and D-phenylalanine (Phe) as SERS reporters for glucose (Glu) sensing.
- Analyzing SERS spectral changes in response to glucose concentration and chirality.
Main Results:
- Phenylalanine SERS showed significant spectral shifts exclusively with chirally matching glucose.
- Observed spectral changes in Phe SERS correlated with glucose concentration.
- Quantitative analysis achieved detection limits for glucose enantiomers down to 2 x 10⁻⁹ - 2 x 10⁻⁷ M.
Conclusions:
- Phenylalanine SERS on AuNPs effectively enables quantitative chiral sensing of glucose.
- Chiral recognition is attributed to bimolecular interactions between adsorbed phenylalanine and glucose.
- A molecular-level understanding is crucial for advancing SERS-based chiral sensing technologies.
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