Evidence map›Paper›PMID 33267577›Full record

ArticleACS applied materials & interfaces2020

Highly Effective Inactivation of SARS-CoV-2 by Conjugated Polymers and Oligomers.

Florencia A Monge, Pradeepkumar Jagadesan, Virginie Bondu, Patrick L Donabedian, Linnea Ista, Eva Y Chi, Kirk S Schanze, David G Whitten, Alison M Kell

Open access · greenAbstract read
In one paragraph

Article in ACS applied materials & interfaces, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Disinfection methods against SARS-CoV-2: a systematic review.The Journal of hospital infection · 2022
    Pooled it
  2. In Vitro Assessment ofGlobal challenges (Hoboken, NJ) · 2025
    Article
  3. Review
  4. Article
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  14. Article
  15. Review
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  17. The viability of SARS-CoV-2 on solid surfaces.Current opinion in colloid & interface science · 2021
    Review
  18. Article
  19. Antimicrobial Polymer-Based Assemblies: A Review.International journal of molecular sciences · 2021
    Review
  20. A Portrait of the OPE as a Biological Agent.Molecules (Basel, Switzerland) · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Florencia A MongeCenter for Biomedical Engineering, University of New Mexico, Albuquerque 87131-0001, New Mexico, United States.
Pradeepkumar JagadesanDepartment of Chemistry, University of Texas at San Antonio, San Antonio 78249-1644, Texas, United States.ORCID http://orcid.org/0000-0002-5319-1395
Virginie BonduDepartment of Molecular Genetics and Microbiology, University of New Mexico School of Medicine, Albuquerque 87131-0001, New Mexico, United States.
Patrick L DonabedianCenter for Biomedical Engineering, University of New Mexico, Albuquerque 87131-0001, New Mexico, United States.ORCID http://orcid.org/0000-0003-3636-4378
Linnea IstaCenter for Biomedical Engineering, University of New Mexico, Albuquerque 87131-0001, New Mexico, United States.
Eva Y ChiCenter for Biomedical Engineering, University of New Mexico, Albuquerque 87131-0001, New Mexico, United States.ORCID http://orcid.org/0000-0001-7448-9943
Kirk S SchanzeDepartment of Chemistry, University of Texas at San Antonio, San Antonio 78249-1644, Texas, United States.ORCID http://orcid.org/0000-0003-3342-4080
David G WhittenCenter for Biomedical Engineering, University of New Mexico, Albuquerque 87131-0001, New Mexico, United States.ORCID http://orcid.org/0000-0002-6305-9494
Alison M KellDepartment of Molecular Genetics and Microbiology, University of New Mexico School of Medicine, Albuquerque 87131-0001, New Mexico, United States.
University of New Mexico · USThe University of Texas at San Antonio · US

Funding

Mechanisms of Intrinsic Host Responses to Hantavirus InfectionK22AI141680 · NIAID · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI KELL, ALISON · 2020 to 2021
$259k
NIAID NIH HHS K22 AI141680
6 · The paper itself

Abstract

In the present study, we examined the inactivation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by synthetic conjugated polymers and oligomers developed in our laboratories as antimicrobials for bacteria, fungi, and nonenveloped viruses. The results show highly effective light-induced inactivation with several of these oligomers and polymers including irradiation with near-UV and visible light. In the best case, one oligomer induced a 5-log reduction in pfu/mL within 10 min. In general, the oligomers are more active than the polymers; however, the polymers are active with longer wavelength visible irradiation. Although not studied quantitatively, the results show that in the presence of the agents at concentrations similar to those used in the light studies, there is essentially no dark inactivation of the virus. Because three of the five materials/compounds examined are quaternary ammonium derivatives, this study indicates that conventional quaternary ammonium antimicrobials may not be active against SARS-CoV-2. Our results suggest several applications involving the incorporation of these materials in wipes, sprays, masks, and clothing and other personal protection equipment that can be useful in preventing infections and the spreading of this deadly virus and future outbreaks from similar viruses.

Indexed as

COVID-19 Drug TreatmentAnimalsChlorocebus aethiopsCOVID-19HumansLightPolymersSARS-CoV-2Ultraviolet RaysVero CellsVirus InactivationPolymersantimicrobial materialsconjugated polyelectrolytescoronavirus inactivationCOVID-19photodynamic inactivationSARS-Cov-2 virus

Identifiers

PMID33267577
PMCPMC7724758
OpenAlexW3109824862

What OpenQuestion holds

Textmetadata
LicenceTDM
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.