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ORIGINAL RESEARCH article

Front. Lab. Chip. Technol.
Sec. Micro- and Nano-fluidics
Volume 3 - 2024 | doi: 10.3389/frlct.2024.1450891
This article is part of the Research Topic Advances in Sample Preparation and Analysis Techniques View all articles

An Automated Syringe-based PoC RT-LAMP LFB Platform for Infectious Disease Detection from Saliva

Provisionally accepted
Dulguunnaran Naranbat Dulguunnaran Naranbat John Murphy John Murphy Anubhav Tripathi Anubhav Tripathi *
  • Brown University, Providence, United States

The final, formatted version of the article will be published soon.

    Decentralized Point-of-Care (PoC) diagnostics hold momentous potential for rapid and accessible viral infection disease detection. Presented is a unique design application of an easy-to-use (plugand-play) platform for viral detection. The platform leverages a simplified multiplex Reverse-Transcription Loop-mediated Isothermal Amplification (RT-LAMP) Lateral Flow Biosensor (LFB) assay with a lyophilized master mix, eliminating the need for RNA isolation or special reporting equipment. A user-friendly Saliva Measuring Tube (SMT) ensures accurate saliva volume self-collection, and a Syringe-based PoC (SPoC) platform automates sample treatment, reagent mixing, and temperature control using readily available components and consumables. The platform's performance was evaluated by multiplexed detection of the SARS-CoV-2 N2 target gene and human ACTB gene from saliva samples. The SPoC platform achieved a detection limit of spiked 500 copies/mL for SARS-CoV-2 and consistent internal control readout. The presented PoC system offers a promising initial step for further development toward a decentralized solution for viral infection testing.

    Keywords: Loop mediated isothermal amplication (LAMP), PoC (point of care), Lateral flow (LF) strip, Saliva test, Infectious disease diagnostics, Automation, Liquid Handling Automation

    Received: 18 Jun 2024; Accepted: 15 Aug 2024.

    Copyright: © 2024 Naranbat, Murphy and Tripathi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Anubhav Tripathi, Brown University, Providence, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.