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Updated: Nov 30, 2025

Development of a Lateral Flow Immunochromatographic Strip for Rapid and Quantitative Detection of Small Molecule Compounds

Development of a Lateral Flow Immunochromatographic Strip for Rapid and Quantitative Detection of Small Molecule Compounds

Published on: November 13, 2021

Surface-Enhanced Raman Scattering-Based Lateral-Flow Immunoassay.

Boris Khlebtsov¹, Nikolai Khlebtsov^1,2

¹Institute of Biochemistry and Physiology of Plants and Microorganisms, Russian Academy of Sciences, 410049 Saratov, Russia.

Nanomaterials (Basel, Switzerland)

|November 13, 2020

Summary

This summary is machine-generated.

Surface-enhanced Raman scattering (SERS) tags significantly improve the sensitivity and quantitative capabilities of lateral flow immunoassays (LFIA), addressing limitations of traditional colorimetric methods for disease diagnosis and safety testing.

Keywords:

immunochromatography lateral flow immunoassay surface-enhanced Raman scattering tags

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Last Updated: Nov 30, 2025

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Published on: November 10, 2016

Area of Science:

Analytical Chemistry
Biotechnology
Biosensing

Background:

Lateral flow immunoassays (LFIA) are widely used for point-of-care diagnostics, environmental monitoring, and food safety.
Classical LFIAs offer semiquantitative results with limited sensitivity due to colorimetric detection.

Purpose of the Study:

To review surface-enhanced Raman scattering (SERS) strategies for enhancing LFIA sensitivity and enabling quantitative analysis.
To discuss the impact of SERS tags on LFIA performance and future applications.

Main Methods:

Review of SERS tags and their integration into LFIA platforms.
Analysis of signal enhancement techniques and readout systems for SERS-LFIA.
Discussion of signal processing algorithms for quantitative detection.

Main Results:

SERS tags offer a significant increase in sensitivity compared to traditional LFIA methods.
SERS enables quantitative detection, overcoming the limitations of semiquantitative colorimetric signals.
New readout systems and signal processing are required for SERS-enhanced LFIA.

Conclusions:

SERS technology presents a promising approach to overcome the sensitivity and quantification limitations of conventional LFIAs.
The integration of SERS tags revolutionizes LFIA capabilities for diagnostics and safety applications.
Further development in readout and signal processing will maximize the potential of SERS-LFIA.