Evidence map›Paper›PMID 35149069›Full record

ArticleThe Science of the total environment2022

Selection of surrogate viruses for process control in detection of SARS-CoV-2 in wastewater.

Md Alamin, Shohei Tsuji, Akihiko Hata, Hiroe Hara-Yamamura, Ryo Honda

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.8field-weighted citation impact, top 5% of its field
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

15 citing papers in PubMed, 39 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Md AlaminGraduate School of Natural Science and Technology, Kanazawa University, Japan.
Shohei TsujiSchool of Environmental Design, Kanazawa University, Japan.
Akihiko HataFaculty of Engineering, Toyama Prefectural University, Japan.
Hiroe Hara-YamamuraFaculty of Geosciences and Civil Engineering, Kanazawa University, Japan.
Ryo HondaFaculty of Geosciences and Civil Engineering, Kanazawa University, Japan. Electronic address: rhonda@se.kanazawa-u.ac.jp.
Kanazawa University · JPToyama Prefectural University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since SARS-CoV-2 RNA in wastewater is often present at low concentration or under detection limit, ensuring the reliability of detection processes using appropriate process controls is essential. The objective of this study was to evaluate applicability and limitations of candidate surrogate viruses as process controls under combinations of different virus concentration and RNA extraction methods. Detection efficiency of SARS-CoV-2 spiked in wastewater was compared with those of candidate surrogate viruses of bacteriophage ϕ6, pepper mild mottle virus (PMMoV), F-specific coliphage (F-phage), and murine norovirus (MNV). After inactivated SARS-CoV-2 and ϕ6 were spiked in two different wastewaters, the viruses in solid and liquid fractions of wastewater were concentrated by centrifuge and polyethylene glycol (PEG) precipitation, respectively. Viral RNA was extracted by using QIAamp Viral RNA Mini Kit and 3 other commercially available extraction kits, then quantified by reverse transcription-quantitative PCR using CDCN1 assay. Regardless of extraction kits, SARS-CoV-2 was consistently detected with good efficiency from both liquid (11-200%) and solid fractions (7.1-93%). Among the candidate process controls, PMMoV was widely detected at good efficiencies from both liquid and solid fractions regardless of selection of RNA extraction kits. F-phage and MNV also showed good detection efficiencies in most combinations of wastewater fractions and RNA extraction kits. An enveloped virus ɸ6 was found often undetected or to have very low detection efficiency (0.1-4.2%) even when SARS-CoV-2 spiked in wastewater was detected with good efficiency. Consequently, PMMoV is widely applicable as process control for detection of SARS-CoV-2 either in liquid fractions concentrated by PEG precipitation, or in solid fractions concentrated by centrifuge.

Indexed as

COVID-19VirusesAnimalsMiceReproducibility of ResultsRNA, ViralSARS-CoV-2WastewaterRNA, ViralWastewaterMurine norovirus (MNV)Pepper mild mottle virus (PMMoV)Polyethylene glycol (PEG) precipitationPseudomonas phage ϕ6Solid fractionWastewater-based epidemiology (WBE)

Identifiers

PMID35149069
PMCPMC8824713
OpenAlexW4226189358

What OpenQuestion holds

Textmetadata
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.