Comparison of Automated and Manual Viral Nucleic Acid Extraction Kits for Covid-19 Detection Using qRT-PCR

Main Article Content

Narcisse Joseph
Norliza Bahtiar
Farhatani Mahmud
Kamsiah Abdul Hamid
Ragenee Raman
Hui Yee Chee
Syafinaz Amin Nordin

Abstract

Introduction: The emergence of a novel Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted
in a pandemic. Rapid and accurate diagnosis method is crucial to reduce the disease burden and to improve early
diagnosis approaches to control of the disease. Real time Reverse transcriptase PCR (qRT-PCR) has been identified by
the World Health Organization as the most sensitive and specific method of detection. However, the success of this
assay relies on the quantity and quality of the extracted viral RNA. Methods: Various methods have been developed
for nucleic acid extraction however, the methods have not been assessed. RNA extraction was performed from 24
nasopharyngeal swab samples using a manual extraction kit (GF-1) and an automated extraction kit (Genolution).
The concentration and purity of the extracted RNA samples were measured, and its performance were tested using
qRT-PCR. Results: The average concentration and purity of the RNA samples extracted using GF-1 kit was higher
compared to Genolution. Similarly, the qRT-PCR assay using the RNA samples extracted using manual extraction
was better compared to automated kit. Conclusion: Both the manual and automated extraction kits have its advantages and disadvantages in terms of yield and purity. However, with proper optimization, both methods may be used
for routine molecular diagnostic of COVID-19 in laboratories.

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How to Cite
Joseph, N., Bahtiar, N., Mahmud, F., Abdul Hamid, K., Raman, R., Chee, H. Y., & Amin Nordin, S. (2022). Comparison of Automated and Manual Viral Nucleic Acid Extraction Kits for Covid-19 Detection Using qRT-PCR. Malaysian Journal of Medicine and Health Sciences, 18(1), : 14–19. Retrieved from http://mjmhsojs.upm.edu.my/index.php/mjmhs/article/view/78
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Original Articles

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