ArticleNature communications2025
Lateral flow immunoassay using plasmonic scattering.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Transport-Reaction-Signal Coupling in Lateral Flow Assays for Next-Generation Point-of-Care Diagnostics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Coordination-Driven Metal-Phenolic Network Complexes for Programmable Colorimetric Signal Transduction and Defined Nano-Bio Interfaces.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Recent Advances of Organic Room Temperature Phosphorescence for Biological Applications.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Approaching Gold-Standard Sensitivity in a Portable and Versatile Gold Nanoprisms Thermoplasmonic Platform for Lateral Flow Detection of Biomolecules.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Direct/enrichment dual-mode lateral flow immunoassay enabled by a composite magnetic-fluorescent nanolabel for ultrasensitive detection of Helicobacter pylori.Mikrochimica acta · 2026Article
- Analytical Methodologies for Benzo[a]pyrene in Foods: A Review of Advances in Sample Preparation and Detection Techniques.Foods (Basel, Switzerland) · 2026Review
- An intelligent platform for monitoring human serum albumin in urine based on lateral flow immunochromatography.Mikrochimica acta · 2026Article
- Recent Advances in Lateral Flow Immunoassay for Rapid Diagnosis of Viral Diseases.Transboundary and emerging diseases · 2026Review
- Establishment of a rapid detection method for severe fever with thrombocytopenia syndrome virus based on reverse transcription-recombinase polymerase amplification with lateral flow nucleic acid chromatography assay technology.Frontiers in microbiology · 2026Article
- Research progress on the current status of respiratory pathogen infections and their detection methods.Frontiers in microbiology · 2026Review
- Entropy-driven signal amplification integrated with machine learning in multiplex lateral flow immunoassay for sensitive Point-of-Care colon cancer diagnosis.Journal of nanobiotechnology · 2025Article
- Charge-mediated directed assembly of Pt nanoshell on PDA: colorimetric-catalytic co-enhanced lateral flow immunoassay for point-of-care testing.Journal of nanobiotechnology · 2025Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
The lateral flow immunoassay (LFIA) is one of the most successful sensing platforms for real-world point-of-care (POC) testing. However, achieving PCR-level sensitivity without compromising the inherent advantages of LFIA, such as rapid and robust operation, affordability, and naked-eye detection, has remained a primary challenge. In this study, a plasmonic scattering-utilising LFIA was proposed, created by transparentising a nitrocellulose membrane and placing a light-absorbing backing card under the membrane. This LFIA minimised the background signal from its matrix, leading to substantially enhanced sensitivity and enabling naked-eye detection of the plasmonic scattering signal from gold nanoparticles without optics. Our plasmonic scattering-utilising LFIA showed an approximately 2600-4400 times higher detection limit compared with that of commercial LFIAs in influenza A assays. In addition, it exhibited 90% sensitivity in clinical validation, approaching PCR-level sensitivity, while commercial LFIAs showed 23-30% sensitivity. The plasmonic scattering-utilising LFIA plays a ground-breaking role in POC diagnostics and significantly boosts follow-up research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.