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Related Experiment Video

Updated: Oct 4, 2025

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An encodable multiplex microsphere-phase amplification sensing platform detects SARS-CoV-2 mutations.

Zecheng Zhong1, Jin Wang2, Shuizhen He3

  • 1State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, School of Public Health, Xiamen University, Xiamen, 361102, China.

Biosensors & Bioelectronics
|February 8, 2022
PubMed
Summary
This summary is machine-generated.

A new sensing platform detects SARS-CoV-2 RNA and simultaneously identifies key single-nucleotide variants (SNVs) in the receptor-binding domain. This highly sensitive method offers a clinical tool for monitoring evolving variants of concern during the COVID-19 pandemic.

Keywords:
EncodableMultiplex amplificationMutationSARS-CoV-2Variant

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Area of Science:

  • Molecular Biology
  • Virology
  • Biotechnology

Background:

  • SARS-CoV-2 variants of concern (VOCs) possess single-nucleotide variants (SNVs) in the receptor-binding domain (RBD) that increase infectivity, transmission, and immune escape, worsening the COVID-19 pandemic.
  • The emergence of new VOCs necessitates diagnostic tools for simultaneous monitoring of these critical SNVs.
  • Current clinical tools lack the required sensitivity and efficiency for simultaneous SNV monitoring.

Purpose of the Study:

  • To develop a sensitive and efficient diagnostic platform for simultaneous detection of SARS-CoV-2 RNA and identification of key SNVs in the RBD.
  • To address the limitations of existing methods in monitoring rapidly evolving viral variants.

Main Methods:

  • Development of an encodable multiplex microsphere-phase amplification (MMPA) sensing platform.
  • Integration of primer-coded microsphere technology with a dual fluorescence decoding strategy.
  • Utilizing the amplification refractory mutation system PCR (ARMS-PCR) confined to microsphere surfaces to prevent non-specific amplification.

Main Results:

  • The MMPA platform achieved a low SARS-CoV-2 RNA detection limit of 28 copies/reaction.
  • Demonstrated the ability to detect a respiratory pathogen panel without cross-reactivity.
  • Achieved SNV analysis accuracy comparable to sequencing, with enhanced clinical availability.
  • Successfully identified 10 key SNVs in the RBD simultaneously.

Conclusions:

  • The MMPA platform provides a highly sensitive and efficient method for simultaneous detection of SARS-CoV-2 RNA and monitoring of critical SNVs in the RBD.
  • This technology offers a timely and adaptable solution for tracking evolving VOCs, surpassing the limitations of traditional sequencing methods in clinical settings.