Evidence map›Paper›PMID 34418628›Full record

ArticleThe Science of the total environment2021

Performance evaluation of virus concentration methods for implementing SARS-CoV-2 wastewater based epidemiology emphasizing quick data turnaround.

Md Ariful Islam Juel, Nicholas Stark, Bridgette Nicolosi, Jordan Lontai, Kevin Lambirth, Jessica Schlueter, Cynthia Gibas, Mariya Munir

Abstract read
In one paragraph

Article in The Science of the total environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Optimization ofJournal of environmental engineering (New York, N.Y.) · 2025
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  18. Structured Ethical Review for Wastewater-Based Testing.medRxiv : the preprint server for health sciences · 2023
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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

8 authors.

Md Ariful Islam JuelDepartment of Civil and Environmental Engineering, 9201 University City Blvd, Charlotte, NC 28223, United States; Department of Leather Engineering, Khulna University of Engineering and Technology, Khulna 9203, Bangladesh.
Nicholas StarkDepartment of Bioinformatics and Genomics, 9201 University City Blvd, Charlotte, NC 28223, United States.
Bridgette NicolosiDepartment of Bioinformatics and Genomics, 9201 University City Blvd, Charlotte, NC 28223, United States.
Jordan LontaiDepartment of Bioinformatics and Genomics, 9201 University City Blvd, Charlotte, NC 28223, United States; Department of Geography and Earth Sciences, 9201 University City Blvd, Charlotte, NC 28223, United States.
Kevin LambirthDepartment of Bioinformatics and Genomics, 9201 University City Blvd, Charlotte, NC 28223, United States.
Jessica SchlueterDepartment of Bioinformatics and Genomics, 9201 University City Blvd, Charlotte, NC 28223, United States; Bioinformatics Research Center, 9201 University City Blvd, Charlotte, NC 28223, United States.
Cynthia GibasDepartment of Bioinformatics and Genomics, 9201 University City Blvd, Charlotte, NC 28223, United States; Bioinformatics Research Center, 9201 University City Blvd, Charlotte, NC 28223, United States.
Mariya MunirDepartment of Civil and Environmental Engineering, 9201 University City Blvd, Charlotte, NC 28223, United States; Bioinformatics Research Center, 9201 University City Blvd, Charlotte, NC 28223, United States. Electronic address: mmunir@uncc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater based epidemiology (WBE) has drawn significant attention as an early warning tool to detect and predict the trajectory of COVID-19 cases in a community, in conjunction with public health data. This means of monitoring for outbreaks has been used at municipal wastewater treatment centers to analyze COVID-19 trends in entire communities, as well as by universities and other community living environments to monitor COVID-19 spread in buildings. Sample concentration is crucial, especially when viral abundance in raw wastewater is below the threshold of detection by RT-qPCR analysis. We evaluated the performance of a rapid ultrafiltration-based virus concentration method using InnovaPrep Concentrating Pipette (CP) Select and compared this to the established electronegative membrane filtration (EMF) method. We evaluated sensitivity of SARS-CoV-2 quantification, surrogate virus recovery rate, and sample processing time. Results suggest that the CP Select concentrator is more efficient at concentrating SARS-CoV-2 from wastewater compared to the EMF method. About 25% of samples that tested negative when concentrated with the EMF method produced a positive signal with the CP Select protocol. Increased recovery of the surrogate virus control using the CP Select confirms this observation. We optimized the CP Select protocol by adding AVL lysis buffer and sonication, to increase the recovery of virus. Sonication increased Bovine Coronavirus (BCoV) recovery by 19%, which seems to compensate for viral loss during centrifugation. Filtration time decreases by approximately 30% when using the CP Select protocol, making this an optimal choice for building surveillance applications where quick turnaround time is necessary.

Indexed as

COVID-19VirusesAnimalsCattleHumansSARS-CoV-2WastewaterWastewater-Based Epidemiological MonitoringWastewaterElectronegative Membrane FiltrationHA MethodInnovaPrep CP SelectSARS-CoV-2Virus concentrationWastewater based epidemiology (WBE)

Identifiers

PMID34418628
PMCPMC8363421

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.