Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
Artículo

Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance

Ahmed, Warish; Simpson, Stuart L.; Bertsch, Paul M.; Bibby, Kyle; Bivins, Aaron; Blackall, Linda L.; Bofill-Mas, Sílvia; Bosch, Albert; Brandão, João; Choi, Phil M.; Ciesielski, Mark; Donner, Erica; D'Souza, Nishita; Farnleitner, Andreas H.; Gerrity, Daniel; Gonzalez, Raul; Griffith, John F.; Gyawali, Pradip; Haas, Charles N.; Hamilton, Kerry A.; Hapuarachchi, Hapuarachchige Chanditha; Harwood, Valerie J.; Rajal, Verónica BeatrizIcon ; Jackson, Greg; Khan, Stuart J.; Wuertz, Stefan; Xagoraraki, Irene; Zhang, Qian; Zimmer Faust, Amity G.; Shanks, Orin C.
Fecha de publicación: 20/01/2022
Editorial: Elsevier
Revista: Science of the Total Environment
ISSN: 0048-9697
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ingeniería del Medio Ambiente

Resumen

Wastewater surveillance for pathogens using reverse transcription-polymerase chain reaction (RT-PCR) is an effective and resource-efficient tool for gathering community-level public health information, including the incidence of coronavirus disease-19 (COVID-19). Surveillance of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) inwastewater can potentially provide an earlywarning signal of COVID-19 infections in a community.The capacity of the world´s environmental microbiology and virology laboratories for SARS-CoV-2 RNA characterization in wastewater is increasing rapidly. However, there are no standardized protocols or harmonized quality assurance and quality control (QA/QC) procedures for SARS-CoV-2 wastewater surveillance. This paper is a technical review of factors that can cause false-positive and false-negative errors in the surveillance of SARS-CoV-2 RNA inwastewater, culminating in recommended strategies that can be implemented to identify and mitigate some of these errors. Recommendations include stringent QA/QC measures, representative samplingapproaches, effective virus concentration and efficient RNA extraction, PCR inhibition assessment, inclusion of sample processing controls, and considerations for RT-PCR assay selection and data interpretation. Clear data interpretation guidelines (e.g., determination of positive and negative samples) are critical, particularlywhen the incidence of SARS-CoV-2 inwastewater is low. Corrective and confirmatory actionsmust be in place for inconclusive results or results diverging fromcurrent trends (e.g., initial onset or reemergence of COVID-19 in a community).It is also prudent to perform interlaboratory comparisons to ensure results´ reliability and interpretability for prospective and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization and detection for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance continues to be demonstrated during this global crisis. In the future, wastewater should also play an important role in the surveillance of a range of other communicable diseases.
Palabras clave: COVID-19 , SARS-COV-2 , WASTEWATER , SURVEILLANCE
Ver el registro completo
 
Archivos asociados
Thumbnail
 
Tamaño: 1.968Mb
Formato: PDF
.
Descargar
Licencia
info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/251110
URL: https://linkinghub.elsevier.com/retrieve/pii/S0048969721049524
DOI: http://dx.doi.org/10.1016/j.scitotenv.2021.149877
Colecciones
Articulos(INIQUI)
Articulos de INST.DE INVEST.PARA LA INDUSTRIA QUIMICA (I)
Citación
Ahmed, Warish; Simpson, Stuart L.; Bertsch, Paul M.; Bibby, Kyle; Bivins, Aaron; et al.; Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance; Elsevier; Science of the Total Environment; 805; 149877; 20-1-2022; 1-20
Compartir
Altmétricas
 

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES