Recent advances in RNA sample preparation techniques for the detection of SARS-CoV-2 in saliva and gargle.

Trends Analyt Chem

Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, T6G 2G3, Canada.

Published: August 2023

AI Article Synopsis

  • * Proper collection and processing techniques for gargle and saliva samples are crucial for ensuring reliable results when using methods like RT-PCR and isothermal amplification.
  • * The article outlines various considerations, such as virus inactivation, RNA preservation, and removal of inhibitors, which are essential for successful molecular detection of not just SARS-CoV-2 but potentially other microbial pathogens as well.

Article Abstract

Molecular detection of SARS-CoV-2 in gargle and saliva complements the standard analysis of nasopharyngeal swabs (NPS) specimens. Although gargle and saliva specimens can be readily obtained non-invasively, appropriate collection and processing of gargle and saliva specimens are critical to the accuracy and sensitivity of the overall analytical method. This review highlights challenges and recent advances in the treatment of gargle and saliva samples for subsequent analysis using reverse transcription polymerase chain reaction (RT-PCR) and isothermal amplification techniques. Important considerations include appropriate collection of gargle and saliva samples, on-site inactivation of viruses in the sample, preservation of viral RNA, extraction and concentration of viral RNA, removal of substances that inhibit nucleic acid amplification reactions, and the compatibility of sample treatment protocols with the subsequent nucleic acid amplification and detection techniques. The principles and approaches discussed in this review are applicable to molecular detection of other microbial pathogens.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204347PMC
http://dx.doi.org/10.1016/j.trac.2023.117107DOI Listing

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