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Updated: Mar 15, 2026

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response
Published on: January 7, 2019
Surface Plasmon Resonance-Based Fiber Optic Sensors Utilizing Molecular Imprinting
Banshi D Gupta1, Anand M Shrivastav2, Sruthi P Usha3
1Physics Department, Indian Institute of Technology Delhi, New Delhi 110016, India. bdgupta@physics.iitd.ernet.in.
Molecular imprinting combined with surface plasmon resonance on optical fibers offers highly selective and sensitive detection. This approach enhances sensing capabilities for various analytes in real-time applications.
Area of Science:
- Analytical Chemistry
- Materials Science
- Biotechnology
Background:
- Molecular imprinting provides specific affinity for template molecules, crucial for selective analyte detection.
- Surface Plasmon Resonance (SPR) and Localized SPR (LSPR) offer sensitive, real-time detection capabilities.
- Optical fibers enhance SPR/LSPR sensors with miniaturization, remote sensing, and online monitoring.
Purpose of the Study:
- To review optical fiber sensors integrating molecular imprinting with SPR/LSPR techniques.
- To provide an overview of SPR/LSPR fundamentals on optical fibers.
- To discuss molecular imprinting technology, synthesis, and applications in analyte detection.
Main Methods:
- Fabrication of molecularly imprinted polymers (MIPs) for selective analyte recognition.
- Implementation of SPR/LSPR phenomena on optical fiber platforms.
- Integration of MIPs with optical fiber SPR/LSPR sensors for enhanced detection.
Main Results:
- Combined MIP-SPR/LSPR optical fiber sensors demonstrate high sensitivity and selectivity.
- The review summarizes various sensing methods for chemical and biological analytes.
- The synergy of these technologies enables rapid, real-time monitoring.
Conclusions:
- MIPs combined with SPR/LSPR on optical fibers present a powerful platform for sensitive and selective analyte detection.
- Challenges and future perspectives for developing advanced sensing methods are explored.
- This integrated approach holds significant promise for diagnostic and sensing applications.
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