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1000 Titel
  • Food and Environmental Virology: Use of Passive Sampling to Characterize the Presence of SARS-CoV-2 and Other Viruses in Wastewater
1000 Autor/in
  1. Geissler, Michael |
  2. Mayer, Robin |
  3. Helm, Björn |
  4. Dumke, Roger |
1000 Verlag
  • Springer US
1000 Erscheinungsjahr 2023
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-12-20
1000 Erschienen in
1000 Quellenangabe
  • 16(1):25-37
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s12560-023-09572-1 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10963477/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:p>Fecal shedding of SARS-CoV-2 leads to a renaissance of wastewater-based epidemiology (WBE) as additional tool to follow epidemiological trends in the catchment of treatment plants. As alternative to the most commonly used composite samples in surveillance programs, passive sampling is increasingly studied. However, the many sorbent materials in different reports hamper the comparison of results and a standardization of the approach is necessary. Here, we compared different cost-effective sorption materials (cheesecloths, gauze swabs, electronegative filters, glass wool, and tampons) in torpedo-style housings with composite samples. Despite a remarkable variability of the concentration of SARS-CoV-2-specific gene copies, analysis of parallel-deposited passive samplers in the sewer demonstrated highest rate of positive samples and highest number of copies by using cheesecloths. Using this sorption material, monitoring of wastewater of three small catchments in the City of Dresden resulted in a rate of positive samples of 50% in comparison with composite samples (98%). During the investigation period, incidence of reported cases of SARS-CoV-2 in the catchments ranged between 16 and 170 per 100,000 persons and showed no correlation with the measured concentrations of <jats:italic>E</jats:italic> gene in wastewater. In contrast, constantly higher numbers of gene copies in passive vs. composite samples were found for human adenovirus and crAssphage indicating strong differences of efficacy of methods concerning the species investigated. Influenza virus A and B were sporadically detected allowing no comparison of results. The study contributes to the further understanding of possibilities and limits of passive sampling approaches in WBE.</jats:p>
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Wastewater-based epidemiology
lokal Virus detection
lokal Passive sampling
lokal Humans [MeSH]
lokal SARS-CoV-2/genetics [MeSH]
lokal Adenoviruses, Human [MeSH]
lokal Food [MeSH]
lokal Wastewater
lokal Research
lokal Wastewater [MeSH]
lokal COVID-19 [MeSH]
lokal Monitoring
lokal SARS-CoV-2
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/R2Vpc3NsZXIsIE1pY2hhZWw=|https://frl.publisso.de/adhoc/uri/TWF5ZXIsIFJvYmlu|https://frl.publisso.de/adhoc/uri/SGVsbSwgQmrDtnJu|https://frl.publisso.de/adhoc/uri/RHVta2UsIFJvZ2Vy
1000 Hinweis
  • DeepGreen-ID: 22df022d1b6346b39d7bc5c901f0a95a ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Technische Universität Dresden |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Technische Universität Dresden |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6523732.rdf
1000 Erstellt am 2025-07-06T23:39:20.378+0200
1000 Erstellt von 322
1000 beschreibt frl:6523732
1000 Zuletzt bearbeitet 2025-07-29T19:47:36.100+0200
1000 Objekt bearb. Tue Jul 29 19:47:36 CEST 2025
1000 Vgl. frl:6523732
1000 Oai Id
  1. oai:frl.publisso.de:frl:6523732 |
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