2022
DOI: 10.3390/mps5020025
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Direct RT-qPCR Assay for the Detection of SARS-CoV-2 in Saliva Samples

Abstract: Since mid-2020 there have been complexities and difficulties in the standardisation and administration of nasopharyngeal swabs. Coupled with the variable and/or poor accuracy of lateral flow devices, this has led to increased societal ‘testing fatigue’ and reduced confidence in test results. Consequently, asymptomatic individuals have developed reluctance towards repeat testing, which remains the best way to monitor COVID-19 cases in the wider population. On the other hand, saliva-based PCR, a non-invasive, hi… Show more

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Cited by 6 publications
(7 citation statements)
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“…For instance, the Quantabio ToughMix PCR mastermix is optimised for use with crude biological samples and resistant to potential PCR inhibitors associated with such samples. We have submitted our detailed methods and protocols in a separate publication [21] for any who wish to reproduce what we are doing.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…For instance, the Quantabio ToughMix PCR mastermix is optimised for use with crude biological samples and resistant to potential PCR inhibitors associated with such samples. We have submitted our detailed methods and protocols in a separate publication [21] for any who wish to reproduce what we are doing.…”
Section: Discussionmentioning
confidence: 99%
“…The validation work was performed with consideration to the Public Health England's (PHE) published quality guidance on the UK Standards for Microbiology Investigations (UK SMI) [20] , the Medicines and Healthcare Regulatory Agency (MHRA) target product pro le (TPP) speci cations for SARS-CoV-2 viral detection testing, and adhering to the applicable criteria de ned within the European Standard for the competence of testing and calibration laboratories (BS EN ISO/IEC 17025:2017). Whilst a parallel submitted manuscript (Tarantini et al, 2022 [21] ) provides stepwise protocols for the UoNATS assay, the article presented below de nes the quality metrics used to validate and accredit the UoNATS SARS-CoV-2 detection method, as assessed by the following parameters: Linearity and range, analytical sensitivity (limit of detection, LOD), analytical speci city, diagnostic (clinical) sensitivity and speci city, positive and negative predictive value, repeatability and sample stability, accuracy and precision, multiplex validation, robustness and reproducibility.…”
Section: Introductionmentioning
confidence: 99%
“…Details of the ATS delivery and timeline, within the changing pandemic context, are provided in Figure 1 . The methods and validity of the testing approach have been published elsewhere [ 34 , 35 , 36 , 37 ].…”
Section: Methodsmentioning
confidence: 99%
“…Detailed methods have been provided in a separate publication [21] . Clinical samples are inactivated prior to downstream processing; vials are heat-inactivated in a laboratory oven with the use of a temperature probe to ensure samples are held at 95 °C for 5 minutes, shown to inactivate SARS-CoV-2 [22] .…”
Section: Specimen Collection and Processingmentioning
confidence: 99%
“…The validation work was performed with consideration to the Public Health England’s (PHE) published quality guidance on the UK Standards for Microbiology Investigations (UK SMI) [20] , the Medicines and Healthcare Regulatory Agency (MHRA) target product profile (TPP) specifications for SARS-CoV-2 viral detection testing, and adhering to the applicable criteria defined within the European Standard for the competence of testing and calibration laboratories (BS EN ISO/IEC 17025:2017). Whilst a parallel submitted manuscript (Tarantini et al ., 2022 [21] ) provides stepwise protocols for the UoNATS assay, the article presented below defines the quality metrics used to validate and accredit the UoNATS SARS-CoV-2 detection method, as assessed by the following parameters: Linearity and range, analytical sensitivity (limit of detection, LOD), analytical specificity, diagnostic (clinical) sensitivity and specificity, positive and negative predictive value, repeatability and sample stability, accuracy and precision, multiplex validation, robustness and reproducibility.…”
Section: Introductionmentioning
confidence: 99%