Evidence map›Paper›PMID 33673589›Full record

ArticleMethods and protocols2021

Inactivation and Elimination of SARS-CoV-2 in Biosamples Using Simple Fixatives and Ultrafiltration.

Ranjeet Kumar, Afsal Kolloli, Selvakumar Subbian

Open access · goldAbstract read
In one paragraph

Article in Methods and protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 15 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

3 authors at 1 institution in 1 country.

Ranjeet KumarPublic Health Research Institute, New Jersey Medical School, Rutgers University, 225 Warren Street, Newark, NJ 07103, USA.ORCID 0000-0002-0035-8729
Afsal KolloliPublic Health Research Institute, New Jersey Medical School, Rutgers University, 225 Warren Street, Newark, NJ 07103, USA.
Selvakumar SubbianPublic Health Research Institute, New Jersey Medical School, Rutgers University, 225 Warren Street, Newark, NJ 07103, USA.ORCID 0000-0003-2021-8632
Rutgers, The State University of New Jersey · US

Funding

Center for Covid Research and Pandemic Preparedness of Rutgers University 302211
6 · The paper itself

Abstract

The Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) causes Coronavirus disease-2019 (COVID-19), which is an ongoing pandemic that has significantly affected the health, economy, and socio-economic status of individuals worldwide. Laboratory research using in vitro, ex vivo and in vivo models has been accelerated to understand the pathogenesis of SARS-CoV-2 infection. However, such experimental research involving SARS-CoV-2 is restricted to biocontainment/safety level-3 (BSL-3) settings, due to the high pathogenicity of this virus. Since many of the downstream analyses of SARS-CoV-2-infected biological samples need to be conducted in a non-BSL3 setting, it is important to ensure that the samples are fully decontaminated and safe for subsequent analysis. Here, we report the effectiveness of standard procedures used to fix cells and tissues for pathological analysis, including 2% or 4% paraformaldehyde, 50%-70% ethanol, 10% neutral buffered formalin and ultrafiltration using membranes with a molecular weight cut-off (MWCO) ranging from 3 to 30 kDa, for inactivating or eliminating SARS-CoV-2. We validated these methods in experimental laboratory samples, such as viral inoculum in cell culture media, SARS-CoV-2 infected host cells and animal tissue lysates. We found that 15 minutes' treatment of viral inoculum (10

Indexed as

biocontainmentCOVID-19ethanolformalininactivationmembrane filterparaformaldehydeplaque forming unitsSARS-CoV-2

Identifiers

PMID33673589
PMCPMC7930937
OpenAlexW3134261384

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.