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A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

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Published on: January 7, 2019

Segmented detection SPR sensor based on seven-core fiber.

Yong Wei, Yudong Su, Chunlan Liu

|October 19, 2017

Summary

This summary is machine-generated.

A novel segmented detection surface plasmon resonance (SPR) sensor using a seven-core fiber (SCF) achieves ultra-high sensitivity and multichannel detection. This breakthrough addresses limitations in traditional fiber SPR sensors, enabling precise biochemical analysis.

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Last Updated: Feb 20, 2026

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Published on: January 7, 2019

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

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Published on: September 30, 2019

Area of Science:

Photonics
Biosensing
Nanotechnology

Background:

Surface Plasmon Resonance (SPR) sensors are crucial for label-free biomolecular detection.
Traditional fiber SPR sensors face challenges with low sensitivity and limited multichannel capabilities.
Developing advanced SPR sensors is vital for real-time biochemical analysis.

Purpose of the Study:

To propose and demonstrate a novel segmented detection SPR sensor utilizing a seven-core fiber (SCF).
To overcome the limitations of low sensitivity and difficulty in multichannel detection in existing fiber SPR sensors.
To achieve ultra-high sensitivity and enable multichannel detection for enhanced biochemical sensing.

Main Methods:

Employed a seven-core fiber (SCF) architecture for sensor fabrication.
Implemented segmented detection technology to enhance sensitivity and detection range.
Utilized reflection-type time division multiplexing (TDM) for the first time in fiber SPR multichannel detection.
Coupled light into and out of six cores of the SCF for three-channel SPR sensing.

Main Results:

Achieved ultra-high sensitivity with average and maximum values of 7387.1nm/RIU and 8502.5nm/RIU, respectively.
Demonstrated a wide refractive index detection range of 1.333~1.395 with a narrow working bandwidth of 250nm.
Successfully realized three-channel SPR sensing and testing, enabling detection of multiple analytes and temperature variations.
The sensor showed potential for online monitoring due to its small size, suitable for in-vivo applications.

Conclusions:

The novel segmented detection SPR sensor based on SCF offers significant improvements in sensitivity and multichannel detection.
The developed sensor effectively addresses key limitations of conventional fiber SPR sensors.
This technology provides a robust platform for advanced biochemical analysis, including multi-analyte detection and in-vivo monitoring.