Evidence map›Paper›PMID 36356768›Full record

ArticleThe Science of the total environment2023

Comparative analysis of Adsorption-Extraction (AE) and Nanotrap® Magnetic Virus Particles (NMVP) workflows for the recovery of endogenous enveloped and non-enveloped viruses in wastewater.

Warish Ahmed, Aaron Bivins, Asja Korajkic, Suzanne Metcalfe, Wendy J M Smith, Stuart L Simpson

Abstract read
In one paragraph

Article in The Science of the total environment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  17. Review
  18. Article
  19. Comparison of NanotrapFrontiers in microbiology · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Warish AhmedCSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia. Electronic address: Warish.Ahmed@csiro.au.
Aaron BivinsDepartment of Civil and Environmental Engineering, Louisiana State University, 3255 Patrick F. Taylor Hall, Baton Rouge, LA 70803, USA.
Asja KorajkicUnited States Environmental Protection Agency, 26W Martin Luther King Jr. Drive, Cincinnati, OH 45268, USA.
Suzanne MetcalfeCSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia.
Wendy J M SmithCSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia.
Stuart L SimpsonCSIRO Land and Water, Lucas Heights, NSW 2234, Australia.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

In this study, two virus concentration methods, namely Adsorption-Extraction (AE) and Nanotrap® Magnetic Virus Particles (NMVP) along with commercially available extraction kits were used to quantify endogenous pepper mild mottle virus (PMMoV) and severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in nucleic acid extracted from 48 wastewater samples collected over six events from eight wastewater treatment plants (WWTPs). The main aim was to determine which workflow (i.e., concentration and extraction methods) produces greater concentrations of endogenous PMMoV and SARS-CoV-2 gene copies (GC) in comparison with each other. Turbidity and total suspended solids (TSS) of wastewater samples within and among the eight WWTPs were highly variable (41-385 NTU and 77-668 mg/L TSS). In 58 % of individual wastewater samples, the log

Indexed as

COVID-19VirusesFecesHumansMagnetic PhenomenaSARS-CoV-2TobamovirusVirionWastewaterWastewater-Based Epidemiological MonitoringWastewaterConcentration methodsHealth risksPMMoVSARS-CoV-2Wastewater

Identifiers

PMID36356768
PMCPMC10823496

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.