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Saliva as a Biological Fluid in SARS-CoV-2 Detection
Emily Thalia Teixeira Silva1, Fabiana Barcelos Furtado1, Rosana Antunes da Silveira1
1Laboratory of Applied Biotechnology, Medical School, São Paulo State University (Unesp), Botucatu 18618-689, Brazil.
Diagnostics (Basel, Switzerland)
|May 11, 2024
Summary
Saliva testing offers a sustainable and cost-effective alternative for diagnosing SARS-CoV-2, showing qualitative diagnostic equivalence to nasopharyngeal swabs. This method is recommended for COVID-19 detection.
Area of Science:
- Virology
- Infectious Diseases
- Diagnostic Methods
Background:
- Polymerase chain reaction (PCR) of nasopharyngeal swabs was the gold standard for SARS-CoV-2 diagnosis during the COVID-19 pandemic.
- Saliva collection emerged as a promising alternative for sample acquisition.
- This study aimed to compare saliva and nasopharyngeal swab (NPS) efficacy in SARS-CoV-2 detection.
Purpose of the Study:
- To compare the qualitative and quantitative detection of SARS-CoV-2 using saliva versus NPS samples.
- To determine the detection limits for both sample collection methods.
- To assess the financial costs and sustainability of saliva collection compared to NPS.
Main Methods:
- Evaluated 99 paired saliva and NPS samples for qualitative SARS-CoV-2 detection.
- Performed quantitative comparison of viral particles and determined detection limits.
- Compared cycle threshold (CT) values, vaccination status, and financial costs.
Main Results:
- Qualitative diagnostic equivalence was observed between saliva and swab collection (96.96%).
- Detection limits were equivalent for both methods, though quantitative agreement was low.
- No significant association between CT values and vaccination status was found.
- Saliva collection demonstrated lower financial costs and reduced plastic material usage, indicating greater sustainability.
Conclusions:
- Saliva collection is a feasible and sustainable alternative for COVID-19 diagnosis.
- Findings support the adoption of saliva-based testing for SARS-CoV-2 detection.

