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Ultra-sensitive fiber optic LSPR biosensor with enhanced enzyme functionalization for real-time putrescine detection
Optics Express
|January 29, 2025
Summary
A new fiber optic biosensor accurately detects putrescine, a compound linked to food spoilage. This localized surface plasmon resonance (LSPR) based sensor offers high sensitivity for improved food safety monitoring.
Area of Science:
- Analytical Chemistry
- Biosensing Technology
- Food Safety Science
Background:
- Putrescine is a biogenic amine associated with food deterioration and safety concerns.
- Accurate detection of putrescine is crucial for quality control in the food industry.
- Existing detection methods may lack the sensitivity or speed required for real-time monitoring.
Purpose of the Study:
- To develop and validate a novel fiber optic biosensor for sensitive and selective putrescine detection.
- To enhance sensor performance using advanced nanomaterials and surface functionalization.
- To evaluate the biosensor's applicability in real-world food sample analysis.
Main Methods:
- Fabrication of an S-tapered fiber optic probe with a waist extension.
- Immobilization of gold nanoparticles (AuNPs) to induce localized surface plasmon resonance (LSPR).
- Integration of multi-walled carbon nanotubes (MWCNTs) and niobium carbide (Nb2CTx) for increased enzyme binding.
- Functionalization of the probe surface with diamine oxidase (DAO) for specific putrescine recognition.
Main Results:
- The biosensor demonstrated a sensitivity of 2.04 nm/lg(µM) and a limit of detection of 0.267 µM.
- A linear detection range of 0-100 µM was established for putrescine.
- The sensor exhibited good repeatability, reusability, selectivity, and performance across different pH values and in real food samples.
Conclusions:
- The developed fiber optic biosensor shows significant potential for accurate and reliable putrescine quantification.
- The combination of LSPR, nanomaterials, and enzymatic functionalization enhances biosensing performance.
- This technology offers a promising tool for advancing food quality and safety assessment.

