Issue 26, 2022

Clinical evaluation of an innovative isothermal amplification detection system for COVID-19 diagnosis

Abstract

A pre-integrated system design intended for a point-of-care (POC) and sample-to-result diagnostic platform with nucleic acid amplification has been developed, which is equipment/electricity-free without any permanent instruments or manual sample processing. This semi-integrated system focuses on pandemic situations that are suitable for the Affordable, Sensitive, Specific, User-friendly, Robust and rapid, Equipment-free, and Deliverable to the end-user “ASSURED” concept recommended by the World Health Organization (WHO). Nucleic acid amplification is an essential rate-limiting factor in the performance of integrated systems that involve sample preparation and detection. The ORF1ab (RdRp) gene of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been targeted by RT-LAMP optimization and evaluation using a commercial hot-pack as a heat source that successfully achieves a femto-scale (<6.8 × 102 copies per rxn) limit of detection (LOD) within 40 min (except for the RNA extraction step). Therefore, the prototype system was assessed using COVID-19-suspected clinical samples (eighty eight) and compared with the results of a commercial real-time reverse transcription polymerase chain reaction (RT-qPCR) assay (Allplex SARS-CoV-2 Assay kit (Seegene, Seoul, Republic of Korea)). These innovative approaches achieved over 95% sensitivity and specificity. In conclusion, the developed system using a hot-pack as a heat source is a promising tool that enables the rapid identification of infectious diseases in the real world.

Graphical abstract: Clinical evaluation of an innovative isothermal amplification detection system for COVID-19 diagnosis

Supplementary files

Article information

Article type
Paper
Submitted
20 Maijs 2022
Accepted
10 Jūn. 2022
First published
13 Jūn. 2022

Anal. Methods, 2022,14, 2578-2585

Clinical evaluation of an innovative isothermal amplification detection system for COVID-19 diagnosis

D. Kim, S. J. Kim, Y. K. Kim, K. T. Kwon and S. Kim, Anal. Methods, 2022, 14, 2578 DOI: 10.1039/D2AY00815G

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