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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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Bisboronic Acids for Selective, Physiologically Relevant Direct Glucose Sensing with Surface-Enhanced Raman
Bhavya Sharma1,2, Pradeep Bugga1, Lindsey R Madison1
1Department of Chemistry, Northwestern University , 2145 Sheridan Rd., Evanston, Illinois 60208, United States.
Journal of the American Chemical Society
|September 27, 2016
Summary
This study shows a new way to detect glucose using surface-enhanced Raman spectroscopy (SERS) and special gold sensors. These sensors accurately measure glucose levels, even with other sugars present, for potential diabetes monitoring.
Area of Science:
- Analytical Chemistry
- Biomedical Engineering
- Spectroscopy
Background:
- Accurate glucose monitoring is crucial for diabetes management.
- Existing methods for glucose sensing face challenges in selectivity and real-time in vivo application.
- Development of novel biosensors with high sensitivity and specificity is needed.
Purpose of the Study:
- To demonstrate direct glucose sensing using surface-enhanced Raman spectroscopy (SERS) on functionalized gold film-over-nanosphere (AuFON) substrates.
- To evaluate the selectivity and accuracy of bisboronic acid receptors for glucose detection in complex biological samples.
- To explore the potential of SERS-based sensors for in vivo glucose monitoring.
Main Methods:
- Utilized gold film-over-nanosphere (AuFON) substrates functionalized with bisboronic acid receptors.
- Employed surface-enhanced Raman spectroscopy (SERS) for direct glucose detection.
- Applied multivariate statistical analysis to resolve glucose from interfering substances like fructose.
- Performed computational modeling to support vibrational frequency assignments.
Main Results:
- Achieved direct sensing of glucose at physiologically relevant concentrations (1-10 mM).
- Demonstrated high selectivity, enabling glucose resolution in the presence of high fructose backgrounds.
- Confirmed accurate glucose detection through combined SERS and multivariate statistical analysis.
- Computational modeling provided insights into molecular interactions and vibrational modes.
Conclusions:
- Bisboronic acid-functionalized AuFON substrates show significant promise for SERS-based glucose sensing.
- The developed sensor system offers high selectivity and accuracy for glucose detection.
- These findings support the potential application of this technology in non-invasive or minimally invasive in vivo glucose monitoring for diabetes management.

