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An automated microfluidic diagnostics pipeline for infectious disease detection in low resource settings

Authors :
Urrutia Iturritza, Miren
Gaudenzi, Giulia
Akhtar, Ahmad Saleem
Pinto, Ines Fernandes
Lapins, Noa
Russom, Aman
Jönsson, Håkan
Urrutia Iturritza, Miren
Gaudenzi, Giulia
Akhtar, Ahmad Saleem
Pinto, Ines Fernandes
Lapins, Noa
Russom, Aman
Jönsson, Håkan
Publication Year :
2020

Abstract

While diagnostics are critical for accurate and timely diagnosis, gold-standard diagnostic tests are commonly high- performance laboratory-based tests that require multi-step protocols for complex sample processing and highly trained personnel, both scarce in low-resource settings. Here, we address the need for an easy-to-use, rapid and reliable diagnostic testing pipeline by presenting a solution combining open-source modular automation and automation compatible microfluidics, easily adaptable to a pipeline for infectious diseases diagnosis. We demonstrate an automation compatible microfluidics pipeline for Neisseria meningitidis diagnosis by on-chip nucleic acids isolation and isothermal amplification, as well as pathogen detection on a paper-based microarray.<br />QC 20211002

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1280633170
Document Type :
Electronic Resource