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Microfluidics-Based Plasmonic Biosensing System Based on Patterned Plasmonic Nanostructure Arrays.

Yanting Liu1, Xuming Zhang1

  • 1Department of Applied Physics, Hong Kong Polytechnic University, Hong Kong.

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|August 6, 2021
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Summary
This summary is machine-generated.

This review highlights advances in plasmonic biosensors using patterned nanostructures and microfluidics for biomedical detection. These integrated systems offer ultra-high sensitivity, label-free, and real-time analysis for diagnostics.

Keywords:
biosensorsmicrofluidicsplasmonic nanostructure arraysplasmonicssurface plasmon resonance

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Area of Science:

  • Nanotechnology
  • Biomedical Engineering
  • Analytical Chemistry

Background:

  • Plasmonic biosensors utilize plasmon resonance techniques like surface plasmon resonance (SPR) and localized SPR (LSPR) for enhanced sensing.
  • Microfluidic integration enables miniaturization and multiplexing capabilities for simultaneous detection of multiple analytes.

Purpose of the Study:

  • To review recent progress in plasmonic biosensors integrated with microfluidic chips.
  • To comprehensively discuss systems based on patterned plasmonic nanostructured arrays for biomedical detection.

Main Methods:

  • Review of plasmon resonance techniques including SPR, LSPR, SPR imaging (SPRi), and surface-enhanced Raman scattering (SERS).
  • Analysis of microfluidic integration strategies for patterned plasmonic nanostructure arrays.
  • Compilation of typical works and methods in microfluidics-based plasmonic biosensor systems.

Main Results:

  • Significant performance enhancement and miniaturization of plasmonic biosensors.
  • Microfluidic integration facilitates high-throughput, multiplexed detection of analytes.
  • Demonstration of ultra-high sensitivity, label-free, and real-time analysis capabilities.

Conclusions:

  • Microfluidics-integrated plasmonic biosensors represent a powerful platform for biochemical molecular analysis.
  • These systems offer advantages for biomedical studies, chemical analyses, and point-of-care diagnostics.
  • Continued development promises further benefits in existing and emerging applications.