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Comparison of mechanical homogenization versus enzymatic digestion sample preparation methodologies for SARS-CoV-2 detection in saliva for surveillance of variants of concern on the University of Tennessee campus in early 2021.
Magen R. Poindexter; Tingting Xu; Cynthia M. Swift; Caleb M Proctor; Fadime Kara-Murdoch; Zachary P Morehouse; Gabriella L Ryan; Frank E. Löffler; Rodney J Nash.
Afiliação
  • Magen R. Poindexter; UT Knoxville: The University of Tennessee Knoxville
  • Tingting Xu; UTK: The University of Tennessee Knoxville
  • Cynthia M. Swift; UTK: The University of Tennessee Knoxville
  • Caleb M Proctor; Omni International Inc, A PerkinElmer Company
  • Fadime Kara-Murdoch; UTK: The University of Tennessee Knoxville
  • Zachary P Morehouse; Michigan State University College of Osteopathic Medicine
  • Gabriella L Ryan; Omni International Inc, A PerkinElmer Company
  • Frank E. Löffler; UTK: The University of Tennessee Knoxville
  • Rodney J Nash; Omni International Inc, A PerkinElmer Company
Preprint em Inglês | medRxiv | ID: ppmedrxiv-22274949
ABSTRACT
The SARS-CoV-2 pandemic has profoundly impacted communities across the globe, requiring accurate and accessible diagnostic technologies in support of public health mitigation efforts. As testing has evolved throughout the course of the pandemic, varying sample preparation methodologies have been employed. Herein we perform a comparison of three commercial sample preparation

methods:

two mechanical homogenization workflows and one enzymatic digestion approach for the detection of SARS-CoV-2 from biomarker genes in 20 human saliva pools. SARS-CoV-2 variants of concern were also identified on the University of Tennessee, Knoxville campus during the spring semester of 2021 utilizing the commercial PerkinElmer PKamp VariantDetect SARS-CoV-2 RT-PCR Assay kit. Two hundred and ten (210) human saliva pools were selected and analyzed for the presence of SARS-CoV-2 variants of concern providing insight into the utility of these various commercial workflows for integration into current public health SARS-CoV-2 surveillance measures.
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo diagnóstico / Estudo prognóstico Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo diagnóstico / Estudo prognóstico Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
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