JOURNAL ARTICLE

Recent Advances in Lateral Flow Assays for Viral Protein Detection with Nanomaterial-Based Optical Sensors

Min Jung KimIzzati HaizanMin Ju AhnDong-Hyeok ParkJin‐Ha Choi

Year: 2024 Journal:   Biosensors Vol: 14 (4)Pages: 197-197   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

Controlling the progression of contagious diseases is crucial for public health management, emphasizing the importance of early viral infection diagnosis. In response, lateral flow assays (LFAs) have been successfully utilized in point-of-care (POC) testing, emerging as a viable alternative to more traditional diagnostic methods. Recent advancements in virus detection have primarily leveraged methods such as reverse transcription–polymerase chain reaction (RT-PCR), reverse transcription–loop-mediated isothermal amplification (RT-LAMP), and the enzyme-linked immunosorbent assay (ELISA). Despite their proven effectiveness, these conventional techniques are often expensive, require specialized expertise, and consume a significant amount of time. In contrast, LFAs utilize nanomaterial-based optical sensing technologies, including colorimetric, fluorescence, and surface-enhanced Raman scattering (SERS), offering quick, straightforward analyses with minimal training and infrastructure requirements for detecting viral proteins in biological samples. This review describes the composition and mechanism of and recent advancements in LFAs for viral protein detection, categorizing them into colorimetric, fluorescent, and SERS-based techniques. Despite significant progress, developing a simple, stable, highly sensitive, and selective LFA system remains a formidable challenge. Nevertheless, an advanced LFA system promises not only to enhance clinical diagnostics but also to extend its utility to environmental monitoring and beyond, demonstrating its potential to revolutionize both healthcare and environmental safety.

Keywords:
Point-of-care testing Nanotechnology Computer science Computational biology Biology Materials science Immunology

Metrics

16
Cited By
5.88
FWCI (Field Weighted Citation Impact)
140
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Biosensors and Analytical Detection
Physical Sciences →  Engineering →  Biomedical Engineering
SARS-CoV-2 detection and testing
Health Sciences →  Medicine →  Infectious Diseases
Advanced biosensing and bioanalysis techniques
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

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