Evidence map›Paper›PMID 35134418›Full record

ArticleThe Science of the total environment2022

Comparison of virus concentration methods and RNA extraction methods for SARS-CoV-2 wastewater surveillance.

Xiawan Zheng, Yu Deng, Xiaoqing Xu, Shuxian Li, Yulin Zhang, Jiahui Ding, Hei Yin On, Jimmy C C Lai, Chung In Yau, Alex W H Chin and 3 more

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 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
10.5field-weighted citation impact, top 1% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.

  1. Pooled it
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  7. Coupling wastewater-based epidemiology with data-driven machine learning for managing public health risks.Risk analysis : an official publication of the Society for Risk Analysis · 2025
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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

13 authors at 2 institutions in 1 country.

Xiawan ZhengEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Yu DengEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Xiaoqing XuEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Shuxian LiEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Yulin ZhangEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Jiahui DingEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Hei Yin OnSchool of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam Road, Hong Kong, China; HKU-Pasteur Research Pole, Pokfulam Road, Hong Kong, China.
Jimmy C C LaiSchool of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam Road, Hong Kong, China; HKU-Pasteur Research Pole, Pokfulam Road, Hong Kong, China.
Chung In YauSchool of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Alex W H ChinSchool of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Leo L M PoonSchool of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam Road, Hong Kong, China; HKU-Pasteur Research Pole, Pokfulam Road, Hong Kong, China.
Hein M TunSchool of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam Road, Hong Kong, China; HKU-Pasteur Research Pole, Pokfulam Road, Hong Kong, China.
Tong ZhangEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China. Electronic address: zhangt@hku.hk.
University of Hong Kong · HKHKU-Pasteur Research Pole · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater surveillance is a promising tool for population-level monitoring of the spread of infectious diseases, such as the coronavirus disease 2019 (COVID-19). Different from clinical specimens, viruses in community-scale wastewater samples need to be concentrated before detection because viral RNA is highly diluted. The present study evaluated eleven different virus concentration methods for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in wastewater. First, eight concentration methods of different principles were compared using spiked wastewater at a starting volume of 30 mL. Ultracentrifugation was the most effective method with a viral recovery efficiency of 25 ± 6%. The second-best option, AlCl

Indexed as

COVID-19VirusesHumansRNA, ViralSARS-CoV-2WastewaterWastewater-Based Epidemiological MonitoringRNA, ViralWastewaterConcentrationRecovery efficiencySARS-CoV-2Ultracentrifugation

Identifiers

PMID35134418
PMCPMC8816846
OpenAlexW4210732062

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.