Disposable silicon-based all-in-one micro-qPCR for apid on-site detection of pathogens
Rapid screening and low-cost diagnosis play a crucial role in choosing the correct course of intervention when dealing with highly infectious pathogens. This is especially important if the disease-causing agent has no effective treatment, such as the novel coronavirus SARS-CoV-2, and shows no or sim...
Saved in:
Published in | Nature communications Vol. 11; no. 1 |
---|---|
Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group
02.12.2020
Nature Publishing Group UK |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Rapid screening and low-cost diagnosis play a crucial role in choosing the correct course of intervention when dealing with highly infectious pathogens. This is especially important if the disease-causing agent has no effective treatment, such as the novel coronavirus SARS-CoV-2, and shows no or similar symptoms to other common infections. Here, we report a disposable silicon-based integrated Point-of-Need transducer (TriSilix) for real-time quantitative detection of pathogen-specific sequences of nucleic acids. TriSilix can be produced at wafer-scale in a standard laboratory (37 chips of 10 × 10 × 0.65 mm in size can be produced in 7 h, costing ~0.35 USD per device). We are able to quantitatively detect a 563 bp fragment of genomic DNA of Mycobacterium avium subspecies paratuberculosis through real-time PCR with a limit-of-detection of 20 fg, equivalent to a single bacterium, at the 35th cycle. Using TriSilix, we also detect the cDNA from SARS-CoV-2 (1 pg) with high specificity against SARS-CoV (2003).Designing efficient, rapid and low-cost diagnostic technologies targeting nucleic acids remains a challenge. Here the authors present a disposable silicon-based integrated Point-of-Need transducer produced in a standard wet lab and able to chemically-amplify and detect pathogen-specific sequences of nucleic acids quantitatively in real-time. |
---|---|
ISSN: | 2041-1723 |
DOI: | 10.1038/s41467-020-19911-6 |