Evidence map›Paper›PMID 34742974›Full record

ArticleThe Science of the total environment2022

Validating and optimizing the method for molecular detection and quantification of SARS-CoV-2 in wastewater.

Yuanyuan Qiu, Jiaao Yu, Kanti Pabbaraju, Bonita E Lee, Tiejun Gao, Nicholas J Ashbolt, Steve E Hrudey, Mathew Diggle, Graham Tipples, Rasha Maal-Bared and 1 more

Open access · hybridAbstract 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 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

11 authors at 3 institutions in 2 countries.

Yuanyuan QiuDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.
Jiaao YuDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.
Kanti PabbarajuPublic Health Laboratories (ProvLab), Alberta Precision Laboratories (APL), Calgary, Alberta, Canada.
Bonita E LeeDepartment of Pediatrics, University of Alberta, Edmonton, Alberta, Canada.
Tiejun GaoDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.
Nicholas J AshboltFaculty of Science and Engineering, Southern Cross University, Lismore, New South Wales, Australia.
Steve E HrudeyDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.
Mathew DigglePublic Health Laboratories (ProvLab), Alberta Precision Laboratories (APL), Edmonton, Alberta, Canada.
Graham TipplesPublic Health Laboratories (ProvLab), Alberta Precision Laboratories (APL), Edmonton, Alberta, Canada.
Rasha Maal-BaredEPCOR Water Canada, Edmonton, Alberta, Canada.
Xiaoli PangDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada; Public Health Laboratories (ProvLab), Alberta Precision Laboratories (APL), Edmonton, Alberta, Canada. Electronic address: Xiao-li.Pang@albertaprecisionlabs.ca.
University of Alberta · CAProvincial Laboratory of Public Health · CASouthern Cross University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater surveillance of SARS-CoV-2 has become a promising tool to estimate population-level changes in community infections and the prevalence of COVID-19 disease. Although many studies have reported the detection and quantification of SARS-CoV-2 in wastewater, remarkable variation remains in the methodology. In this study, we validated a molecular testing method by concentrating viruses from wastewater using ultrafiltration and detecting SARS-CoV-2 using one-step RT-qPCR assay. The following parameters were optimized including sample storage condition, wastewater pH, RNA extraction and RT-qPCR assay by quantification of SARS-CoV-2 or spiked human coronavirus strain 229E (hCoV-229E). Wastewater samples stored at 4 °C after collection showed significantly enhanced detection of SARS-CoV-2 with approximately 2-3 PCR-cycle threshold (Ct) values less when compared to samples stored at -20 °C. Pre-adjustment of the wastewater pH to 9.6 to aid virus desorption followed by pH readjustment to neutral after solid removal significantly increased the recovery of spiked hCoV-229E. Of the five commercially available RNA isolation kits evaluated, the MagMAX-96 viral RNA isolation kit showed the best recovery of hCoV-229E (50.1 ± 20.1%). Compared with two-step RT-qPCR, one-step RT-qPCR improved sensitivity for SARS-CoV-2 detection. Salmon DNA was included for monitoring PCR inhibition and pepper mild mottle virus (PMMoV), a fecal indicator indigenous to wastewater, was used to normalize SARS-CoV-2 levels in wastewater. Our method for molecular detection of SARS-CoV-2 in wastewater provides a useful tool for public health surveillance of COVID-19.

Indexed as

COVID-19SARS-CoV-2HumansRNA, ViralWastewaterWastewater-Based Epidemiological MonitoringRNA, ViralWastewaterhCoV-229EPMMoVRT-qPCRSARS-CoV-2Wastewater

Identifiers

PMID34742974
PMCPMC8568330
OpenAlexW3213712254

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.