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A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions

A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions

Published on: November 23, 2015

Surface plasmon resonance based biosensor technique: a review.

¹School of Electrical Engineering and Computer Science, and College of Engineering, Seoul National University, 599 Gwanangno, Gwanak-gu, Seoul 151-744, South Korea. guosnu@gmail.com

Journal of Biophotonics

|April 3, 2012

Summary

This summary is machine-generated.

Optical Surface Plasmon Resonance (SPR) biosensors are advanced label-free tools for detecting molecular interactions. This review covers bulk SPR and localized SPR (LSPR) biosensor advancements for diverse applications.

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Area of Science:

Biomedical Engineering
Analytical Chemistry
Nanotechnology

Background:

Optical Surface Plasmon Resonance (SPR) biosensors are leading label-free detection technologies.
They offer versatile applications in environmental monitoring, biotechnology, medical diagnostics, drug discovery, and food safety.

Purpose of the Study:

To review recent advancements in SPR biosensor techniques, specifically bulk SPR and localized SPR (LSPR).
To introduce the fundamental concepts and working principles of both SPR and LSPR sensing.
To present key developments in biorecognition elements, measurement formats, and sensing platforms.

Main Methods:

Review of recent scientific literature on SPR and LSPR biosensor development.
Introduction to the physics of surface plasmons (SPs) and their interaction with light.
Analysis of different biorecognition strategies and sensing configurations.

Main Results:

Detailed explanation of bulk SPR and LSPR phenomena and their respective sensing mechanisms.
Presentation of significant progress in enhancing sensitivity, specificity, and multiplexing capabilities.
Comparison of the advantages and limitations of bulk SPR and LSPR techniques.

Conclusions:

SPR and LSPR biosensors are powerful tools for label-free analysis of molecular interactions.
Ongoing research focuses on improving biorecognition elements, measurement formats, and sensing platforms for broader applications.
Both techniques show great promise for advancements in diagnostics, drug screening, and environmental monitoring.