Skip to main navigation Skip to search Skip to main content

Rapid and sensitive SARS-CoV-2 detection using a homogeneous fluorescent immunosensor Quenchbody with crowding agents

  • Bo Zhu
  • , Nobuyuki Nosaka
  • , Shuji Kanamaru
  • , Jinhua Dong
  • , Yancen Dai
  • , Akihito Inoue
  • , Yinghui Yang
  • , Kaori Kobayashi
  • , Tetsuya Kitaguchi
  • , Hiroshi Iwasaki
  • , Ryuji Koike
  • , Kenji Wakabayashi
  • , Hiroshi Ueda
  • Institute of Science Tokyo
  • Graduate School of Medical and Dental Sciences

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Antigen tests for SARS-CoV-2 are widely used by the public during the ongoing COVID-19 pandemic, which demonstrates the societal impact of homogeneous immunosensor-related technologies. In this study, we used the PM Q-probe and Quenchbody technologies to develop a SARS-CoV-2 nucleocapsid protein (N protein) homogeneous immunosensor based on a human anti-N protein antibody. For the first time, we uncovered the crowding agent's role in improving the performance of the double-labeled Quenchbody, and the possible mechanisms behind this improvement are discussed. The 5% polyethylene glycol 6000 significantly improved both the response speed and sensitivity of SARS-CoV-2 Quenchbodies. The calculated limit of detection for recombinant N protein was 191 pM (9 ng mL−1) within 15 min of incubation, which was 9- to 10-fold lower than the assay without adding crowding agent. We also validated the developed immunosensor in a point-of-care test by measuring specimens from COVID-19-positive patients using a compact tube fluorometer. In brief, this work shows the feasibility of Quenchbody homogeneous immunosensors as rapid and cost-efficient tools for the diagnosis and high-throughput analysis of swab samples in large-scale monitoring and epidemiological studies of COVID-19 or other emerging infectious diseases.

Original languageEnglish
Pages (from-to)4971-4979
Number of pages9
JournalAnalyst
Volume147
Issue number22
DOIs
StatePublished - 30 Sep 2022

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

Fingerprint

Dive into the research topics of 'Rapid and sensitive SARS-CoV-2 detection using a homogeneous fluorescent immunosensor Quenchbody with crowding agents'. Together they form a unique fingerprint.

Cite this