Evidence map›Paper›PMID 36460686›Full record

ArticleScientific reports2022

High-efficiency retention of ultrafine aerosols by electrospun nanofibers.

Yury Salkovskiy, Aleksandr Fadeev

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Nanofibrous filters: A promising solution for the efficient capture of polydisperse viral aerosols.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2025
    Article
  4. 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

2 authors.

Yury SalkovskiyDepartment of Biomechanics, University of Nebraska at Omaha, 6160 University Drive South, Omaha, NE, 68182, USA. ysalkovskiy@unomaha.edu.
Aleksandr FadeevDepartment of Biomechanics, University of Nebraska at Omaha, 6160 University Drive South, Omaha, NE, 68182, USA.

Funding

Visual control of locomotion in people with Parkinsons diseaseP20GM109090 · NIGMS · UNIVERSITY OF NEBRASKA OMAHA · PI KNARR, BRIAN ANDREW · 2014 to 2023
$20.5M
NIGMS NIH HHS P20 GM109090
6 · The paper itself

Abstract

The versatility of nanofibrous polymeric materials makes them attractive for developing respiratory protective equipment. Ultrafine nanofibers effectively trap the most penetrating aerosols and exhibit consistent performance compared to conventional electret filters. Advanced nanofiber manufacturing technologies such as electrospinning can functionalize filter materials, enhancing them with unique antibacterial, catalytic, sensory, and other properties. Much of the current research in nanofibrous air filtration focuses on using nanofibers for lightweight personal protective equipment such as N95 respirators, but their use for higher levels of respiratory protection required for chemical, biological, radiological, and nuclear (CBRN) protection has not yet been comprehensively explored. In this study, we tested the hypothesis that electrospun filters could provide the particle filtration efficiency and breathing resistance required by the National Institute for Occupational Safety and Health Standard for CBRN air-purifying respirators. Our manufactured nanofibrous filters demonstrated submicron aerosol retention efficiency of > 99.999999%, which is four orders of magnitude better than the requirements of the CBRN standard. They also had a breathing resistance of ~ 26 mmH

Indexed as

NanofibersRadiologyRespiratory Protective DevicesAerosolsFiltrationUnited StatesAerosols

Identifiers

PMID36460686
PMCPMC9717556

What OpenQuestion holds

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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.