Evidence map›Paper›PMID 37267510›Full record

ArticleACS biomaterials science & engineering2023

Enhancing Biocidal Capability in Cuprite Coatings.

Brian T Lejeune, Xiaoyu Zhang, Su Sun, Julia Hines, Kevin W Jinn, Ashlyn Neal Reilly, Heather A Clark, Laura H Lewis

Open access · hybridAbstract read
In one paragraph

Article in ACS biomaterials science & engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 60% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 1 institution in 1 country.

Brian T LejeuneDepartment of Chemical Engineering, Northeastern University, 360 Huntington Ave, Boston, Massachusetts 02115, United States.ORCID 0000-0002-9424-7797
Xiaoyu ZhangDepartment of Mechanical and Industrial Engineering, Northeastern University, 360 Huntington Ave, Boston, Massachusetts 02115, United States.
Su SunDepartment of Chemical Engineering, Northeastern University, 360 Huntington Ave, Boston, Massachusetts 02115, United States.
Julia HinesDepartment of Chemical Engineering, Northeastern University, 360 Huntington Ave, Boston, Massachusetts 02115, United States.
Kevin W JinnDepartment of Chemical Engineering, Northeastern University, 360 Huntington Ave, Boston, Massachusetts 02115, United States.
Ashlyn Neal ReillyDepartment of Bioengineering, Northeastern University, 360 Huntington Ave, Boston, Massachusetts 02115, United States.
Heather A ClarkDepartment of Bioengineering, Northeastern University, 360 Huntington Ave, Boston, Massachusetts 02115, United States.ORCID 0000-0002-2628-9194
Laura H LewisDepartment of Chemical Engineering, Northeastern University, 360 Huntington Ave, Boston, Massachusetts 02115, United States.
Northeastern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SARS-CoV-2 global pandemic has reinvigorated interest in the creation and widespread deployment of durable, cost-effective, and environmentally benign antipathogenic coatings for high-touch public surfaces. While the contact-kill capability and mechanism of metallic copper and its alloys are well established, the biocidal activity of the refractory oxide forms remains poorly understood. In this study, commercial cuprous oxide (Cu

Indexed as

CopperCOVID-19BacteriaEscherichia coliHumansPowdersSARS-CoV-2Coppercuprous oxidePowdersantimicrobial coatingsbiocidalcontact-killcryomechanical processinglattice defects

Identifiers

PMID37267510
PMCPMC10620754
OpenAlexW4379113493

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.