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Development of a merry-go-round inspired automatic paper-based ELISA system for colorimetric detection of SARS-CoV-2

  • To Thanh Truc Truong
  • , Hoang Khang Bui
  • , Van Hiep Nguyen
  • , Tae Seok Seo

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The ongoing global challenge posed by the COVID-19 pandemic necessitates innovative and accessible diagnostic solutions. In response, we developed a novel merry-go-round-inspired automatic paper-based ELISA system for colorimetric detection of SARS-CoV-2. The system features a unique rotational mechanism, where synchronized movements of gears and solenoids enable precise and sequential solution loading for key ELISA steps, including sample introduction, washing, detection antibody addition, and substrate reaction. This automation minimizes manual intervention while ensuring high precision. The paper-based ELISA (p-ELISA) chip incorporates a multi-layered design, including four reaction chambers for fluid handling, a one-way surge layer for efficient waste absorption, and amine-functionalized cellulose paper discs for covalent antibody immobilization. This design not only facilitates multi-sample processing but also enhances throughput and consistency. By combining this innovative chip with the automated loading system, all essential ELISA steps—sample loading, reagent dispersion, and colorimetric signal detection—are performed on a single platform. Smartphone-based imaging with RGB analysis is capable of semi-quantitative detection of antigen levels, providing a user-friendly and accurate colorimetric readout. In addition, the system is controlled via a smartphone app with voice recognition, making it accessible and easy to operate. This cost-effective and eco-friendly platform demonstrated high specificity for SARS-CoV-2 antigens, with a detection limit in the nanogram range, and was successfully validated with clinical samples and multiple variants. These features position the system as a robust and accessible diagnostic tool for addressing COVID-19 and other infectious diseases, particularly in resource-limited settings.

Original languageEnglish
Article number138531
JournalSensors and Actuators, B: Chemical
Volume445
DOIs
Publication statusPublished - 15 Dec 2025

Bibliographical note

Publisher Copyright:
© 2025

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
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Merry-go-round
  • Paper-based ELISA
  • Point-of-care diagnostics
  • SARS-CoV-2
  • Smartphone

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