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Updated: May 29, 2025
Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates
Published on: March 20, 2015
Highly Sensitive and Interference-Free Detection of Multiple Drug Molecules in Serum Using Dual-Modified SERS
Yingji Wang1, Jin Sun1, Liping Zhou1
1State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Harbin 150081, China.
This study introduces a novel surface-enhanced Raman spectroscopy (SERS) substrate for sensitive, label-free detection of multiple drugs directly in serum. The AI-powered platform overcomes biomolecular interference, enhancing accuracy for therapeutic drug monitoring.
Area of Science:
- Analytical Chemistry
- Biomedical Engineering
- Spectroscopy
Background:
- Surface-enhanced Raman spectroscopy (SERS) shows promise for drug detection but struggles with serum biomolecular interference and single-drug limitations.
- Label-free, simultaneous detection of multiple drugs in complex biological matrices remains a significant challenge for current SERS applications.
Purpose of the Study:
- To develop a novel SERS substrate for sensitive, multiplexed, and label-free drug detection directly in human serum.
- To overcome the limitations of existing SERS methods by mitigating biomolecular interference and eliminating the need for sample pre-treatment.
Main Methods:
- Fabrication of a novel Au@AgDBCNRs SERS substrate through a two-step modification of Au@AgNRs.
- Utilized cetyltrimethylammonium bromide (CTAB) coating as an internal standard for quantification.
- Integrated artificial intelligence (AI) for automated spectral feature recognition and analysis.
Main Results:
- The Au@AgDBCNRs substrate demonstrated exceptional signal amplification for sensitive, simultaneous detection of multiple drug molecules.
- The method enabled direct drug detection in serum without deproteinization, effectively mitigating interference from blood components.
- AI integration significantly improved detection accuracy and efficiency by analyzing Raman spectral features.
Conclusions:
- The developed SERS platform offers a new approach for therapeutic drug monitoring, enabling rapid, accurate, and cost-effective drug detection.
- This technology has significant potential for improving patient care and optimizing drug dosage strategies in clinical settings.
