Evidence map›Paper›PMID 34070166›Full record

ReviewMolecules (Basel, Switzerland)2021

Recent Advances on Antimicrobial and Anti-Inflammatory Cotton Fabrics Containing Nanostructures.

Albert Granados, Roser Pleixats, Adelina Vallribera

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 84 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.

Albert GranadosDepartament de Química and Centro de Innovación en Química Avanzada (ORFEO-CINQA), Facultat de Ciències, Universitat Autònoma de Barcelona, UAB Campus, C/ dels Til.lers, 08193 Cerdanyola del Vallès, Spain.ORCID 0000-0002-5362-5966
Roser PleixatsDepartament de Química and Centro de Innovación en Química Avanzada (ORFEO-CINQA), Facultat de Ciències, Universitat Autònoma de Barcelona, UAB Campus, C/ dels Til.lers, 08193 Cerdanyola del Vallès, Spain.ORCID 0000-0003-2544-732X
Adelina VallriberaDepartament de Química and Centro de Innovación en Química Avanzada (ORFEO-CINQA), Facultat de Ciències, Universitat Autònoma de Barcelona, UAB Campus, C/ dels Til.lers, 08193 Cerdanyola del Vallès, Spain.
Universitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrophilic cotton textiles, used in hospitals and sportswear, are prone to the growth of microorganisms (bacteria, fungi) resulting in hygiene and health risks. Thus, healthcare concerns have motivated the interest for the development of multifunctional antimicrobial cotton fabrics. Moreover, cotton textiles are also used in medical applications such as wound dressings. Their functionalization with anti-inflammatory agents is desirable in order to accelerate cicatrisation in the treatment of chronic wounds. This review summarizes recent advances (from January 2016 to January 2021) on the modification and coating of cotton fabrics with nanostructures (mainly metal and metal oxide nanoparticles, functionalized silica nanoparticles) to provide them antimicrobial (antibacterial and antifungal) and anti-inflammatory properties.

Indexed as

Cotton FiberAnti-Infective AgentsAnti-Inflammatory AgentsMetal NanoparticlesMicrobial Sensitivity TestsNanostructuresAnti-Infective AgentsAnti-Inflammatory Agentsanti-inflammatoryantimicrobialcotton fabricsfunctionalizationnanoparticlestextiles

Identifiers

PMID34070166
PMCPMC8158507
OpenAlexW3162803668

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.