Self-enhancing triplex lateral flow assay for simultaneous detection of influenza A, influenza B, and SARS-CoV-2

Lingyan Kang1, Tao Xu1, Zhimeng Fan1

  • 1College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, China.

Talanta
|December 12, 2025
PubMed

Insights

A novel self-enhancing lateral flow immunoassay (LFIA) boosts sensitivity for detecting respiratory pathogens like IAV, IBV, and SARS-CoV-2. This equipment-free, one-step diagnostic offers improved detection of weak-positive samples for reliable point-of-care screening.

Area of Science:

  • Biomedical Engineering
  • Diagnostic Assays
  • Nanotechnology

Background:

  • Lateral flow immunoassays (LFIA) are crucial for point-of-care diagnostics but often lack sensitivity, especially for detecting low pathogen concentrations.
  • Improving LFIA sensitivity without complicating the user workflow is a significant technical challenge.

Purpose of the Study:

  • To develop a self-enhancing lateral flow immunoassay (SET-LFIA) that increases analytical sensitivity and maintains a simple, one-step format.
  • To enable reliable detection of respiratory pathogens, including influenza A virus (IAV), influenza B virus (IBV), and SARS-CoV-2, with enhanced accuracy for weak-positive samples.

Main Methods:

  • A novel SET-LFIA design incorporating two enhancement pads (Au³⁺ and NH₂OH·HCl) positioned beneath the detection layer.
  • Sequential reagent release triggered by capillary flow, inducing in situ gold nanoparticle growth post-binding to amplify the signal.
  • Optimization of reagent concentrations and pad placement to maximize signal enhancement while preserving immunoreaction integrity.

Main Results:

  • The SET-LFIA achieved significantly lower detection limits: 1.0 ng/mL for IAV, 1.0 ng/mL for IBV, and 0.2 ng/mL for SARS-CoV-2.
  • Demonstrated 5-25 fold sensitivity gains compared to conventional LFIA, with improved discrimination of weak-positive samples and reduced false negatives.
  • Exhibited excellent stability (>85% signal retention after 21 days at 45°C) and robust multiplex detection in clinical samples.

Conclusions:

  • The developed SET-LFIA provides a practical and scalable solution for rapid, on-site respiratory pathogen screening.
  • The integrated self-enhancement strategy effectively boosts assay sensitivity without additional user steps, addressing a key limitation of current LFIAs.
  • This technology holds promise for improving the reliability and accessibility of point-of-care diagnostics for infectious diseases.

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