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Betaine-assisted multiplex recombinase polymerase amplification coupled lateral flow assay for simultaneous detection and typing of variants in human respiratory virus

  • Mahidol University
  • K. Mongkut's Univ. Technol. Thonburi
  • National Science and Technology Development Agency (NSTDA)
  • Faculty of Medicine, Chulalongkorn University
  • AIMST University

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Rapid and accurate diagnosis of infectious diseases is of paramount importance for effective prevention and treatment. The recent COVID-19 pandemic accelerated the development of on-site detection tools for rapid screening and diagnosis. Recombinase polymerase amplification (RPA) is a well-established isothermal amplification method that offers a potential alternative to polymerase chain reaction for point-of-care applications. However, RPA's specificity remains limited due to non-specific amplification. In this study, we developed a betaine-assisted multiplex RPA system coupled with lateral flow assay for the simultaneous detection and typing of human respiratory virus variants, addressing the issue of non-specific amplification. Our results demonstrated that the addition of 8 µL of betaine per reaction effectively eliminated non-specific amplification in the multiplex RPA system. This method was applied to detect SARS-CoV-2 variants, and its analytical and clinical performance was evaluated. The findings revealed that betaine-assisted multiplex RPA specifically detects SARS-CoV-2 variants with a limit of detection of 1 fM, visible to the naked eye. Furthermore, 120 clinical samples, which included negative, alpha variant, and delta variant cases, were tested and showed 100 % concordance with the standard RT-qPCR method. This proof of concept can be adapted for the detection of various pathogens, particularly for screening emerging variants during outbreaks.

Original languageEnglish
Article number138742
JournalSensors and Actuators, B: Chemical
Volume446
DOIs
Publication statusPublished - 1 Jan 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Betaine
  • Lateral flow assay
  • Recombinase polymerase amplification
  • SARS-CoV-2 variant

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