Quantitative detection of dengue serotypes using a smartphone-connected handheld Lab-on-Chip platform
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Published version
Author(s)
Type
Journal Article
Abstract
Dengue is one of the most prevalent infectious diseases in the world. Rapid, accurate and scalable diagnostics are key to patient management and epidemiological surveillance of the dengue virus (DENV), however current technologies do not match required clinical sensitivity and specificity or rely on large laboratory equipment. In this work, we report the translation of our smartphone-connected handheld Lab-on-Chip (LoC) platform for the quantitative detection of two
dengue serotypes. At its core, the approach relies on the combination of Complementary Metal Oxide-Semiconductor (CMOS) microchip technology to integrate an array of 78x56 potentiometric sensors, and a label-free reverse-transcriptase loop mediated isothermal amplification (RT-LAMP) assay. The platform communicates to a smartphone app which synchronises results in real time with a secure cloud server hosted by Amazon Web Services (AWS) for epidemiological surveillance. The assay on our LoC platform (RT-eLAMP) was shown to match performance on a gold-standard fluorescence-based real-time instrument (RT-qLAMP) with synthetic DENV-1 and DENV-2 RNA and extracted RNA from 9 DENV-2 clinical isolates, achieving quantitative detection in under 15 minutes. To validate the portability of the platform and the geo-tagging capabilities, we led our study in the laboratories at Imperial College London, UK, and Kaohsiung Medical Hospital, Taiwan. This approach carries high potential for application in low resource settings at the point-of-care (PoC).
dengue serotypes. At its core, the approach relies on the combination of Complementary Metal Oxide-Semiconductor (CMOS) microchip technology to integrate an array of 78x56 potentiometric sensors, and a label-free reverse-transcriptase loop mediated isothermal amplification (RT-LAMP) assay. The platform communicates to a smartphone app which synchronises results in real time with a secure cloud server hosted by Amazon Web Services (AWS) for epidemiological surveillance. The assay on our LoC platform (RT-eLAMP) was shown to match performance on a gold-standard fluorescence-based real-time instrument (RT-qLAMP) with synthetic DENV-1 and DENV-2 RNA and extracted RNA from 9 DENV-2 clinical isolates, achieving quantitative detection in under 15 minutes. To validate the portability of the platform and the geo-tagging capabilities, we led our study in the laboratories at Imperial College London, UK, and Kaohsiung Medical Hospital, Taiwan. This approach carries high potential for application in low resource settings at the point-of-care (PoC).
Date Issued
2022-09-15
Date Acceptance
2022-07-19
Citation
Frontiers in Bioengineering and Biotechnology, 2022, 10, pp.1-14
ISSN
2296-4185
Publisher
Frontiers Media
Start Page
1
End Page
14
Journal / Book Title
Frontiers in Bioengineering and Biotechnology
Volume
10
Copyright Statement
© 2022 Moser, Yu, Rodriguez Manzano, Malpartida-Cardenas, Au, Arkell, Cicatiello, Moniri, Miglietta, Wang, Wang, Holmes, Chen and Georgiou. 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) and the copyright owner(s) 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.
License URL
Sponsor
National Institute for Health Research
Engineering & Physical Science Research Council (EPSRC)
Wellcome Trust
National Institute for Health Research
Identifier
https://www.frontiersin.org/articles/10.3389/fbioe.2022.892853/full
Grant Number
NIHR200646
EESA_P76481
C552 (217650/Z/19/Z)
RDF04
Subjects
dengue
diagnostics
digital diagnostics
lab-on-chip
molecular assay
nucleic acid
point-of-care
surveillance
0699 Other Biological Sciences
0903 Biomedical Engineering
1004 Medical Biotechnology
Publication Status
Published
Article Number
892853
Date Publish Online
2022-09-15