An Automated Versatile Diagnostic Workflow for Infectious Disease Detection in Low-Resource SettingsShow others and affiliations
2024 (English)In: Micromachines, E-ISSN 2072-666X, Vol. 15, no 6, article id 708
Article in journal (Refereed) Published
Abstract [en]
Laboratory automation effectively increases the throughput in sample analysis, reduces human errors in sample processing, as well as simplifies and accelerates the overall logistics. Automating diagnostic testing workflows in peripheral laboratories and also in near-patient settings -like hospitals, clinics and epidemic control checkpoints- is advantageous for the simultaneous processing of multiple samples to provide rapid results to patients, minimize the possibility of contamination or error during sample handling or transport, and increase efficiency. However, most automation platforms are expensive and are not easily adaptable to new protocols. Here, we address the need for a versatile, easy-to-use, rapid and reliable diagnostic testing workflow by combining open-source modular automation (Opentrons) and automation-compatible molecular biology protocols, easily adaptable to a workflow for infectious diseases diagnosis by detection on paper-based diagnostics. We demonstrated the feasibility of automation of the method with a low-cost Neisseria meningitidis diagnostic test that utilizes magnetic beads for pathogen DNA isolation, isothermal amplification, and detection on a paper-based microarray. In summary, we integrated open-source modular automation with adaptable molecular biology protocols, which was also faster and cheaper to perform in an automated than in a manual way. This enables a versatile diagnostic workflow for infectious diseases and we demonstrated this through a low-cost N. meningitidis test on paper-based microarrays.
Place, publisher, year, edition, pages
MDPI AG , 2024. Vol. 15, no 6, article id 708
Keywords [en]
modular automation, open-source, recombinase polymerase amplification, microarray, signal enhancement, infectious diseases
National Category
Biochemistry Molecular Biology
Identifiers
URN: urn:nbn:se:kth:diva-350487DOI: 10.3390/mi15060708ISI: 001256399800001PubMedID: 38930678Scopus ID: 2-s2.0-85197193204OAI: oai:DiVA.org:kth-350487DiVA, id: diva2:1884209
Note
QC 20240715
2024-07-152024-07-152025-02-20Bibliographically approved