Evidence map›Paper›PMID 33758430›Full record

ArticlePolymer2021

Engineering laminated paper for SARS-CoV-2 medical gowns.

Laila Hossain, Maisha Maliha, Ruth Barajas-Ledesma, Jinhee Kim, Kevin Putera, Dinesh Subedi, Joanne Tanner, Jeremy J Barr, Mark M Banaszak Holl, Gil Garnier

Open access · greenAbstract read
In one paragraph

Article in Polymer, 2021. 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
0.6field-weighted citation impact, top 38% 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, 7 citations in OpenAlex.

  1. Review
  2. Review
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

10 authors at 1 institution in 1 country.

Laila HossainBioresource Processing Research Institute of Australia (BioPRIA), Australia.
Maisha MalihaBioresource Processing Research Institute of Australia (BioPRIA), Australia.
Ruth Barajas-LedesmaBioresource Processing Research Institute of Australia (BioPRIA), Australia.
Jinhee KimDepartment of Chemical Engineering, Monash University, VIC, 3800, Australia.
Kevin PuteraDepartment of Chemical Engineering, Monash University, VIC, 3800, Australia.
Dinesh SubediSchool of Biological Sciences, Monash University, VIC, 3800, Australia.
Joanne TannerBioresource Processing Research Institute of Australia (BioPRIA), Australia.
Jeremy J BarrSchool of Biological Sciences, Monash University, VIC, 3800, Australia.
Mark M Banaszak HollDepartment of Chemical Engineering, Monash University, VIC, 3800, Australia.
Gil GarnierBioresource Processing Research Institute of Australia (BioPRIA), Australia.
Monash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has highlighted the need for diversity in the market and alternative materials for personal protective equipment (PPE). Paper has high coatability for tunable barrier performance, and an agile production process, making it a potential substitute for polyolefin-derived PPE materials. Bleached and newsprint papers were laminated with polyethylene (PE) coatings of different thicknesses, and characterised for their potential use as medical gowns for healthcare workers and COVID-19 patients. Thicker PE lamination improved coating homogeneity and water vapour resistance. 49 GSM bleached paper with 16 GSM PE coating showed high tensile and seam strength, and low water vapour transmission rate (WVTR). Phi-X174 bacteriophage testing revealed that paper laminated with 15 GSM coating hinders virus penetration. This research demonstrates that PE laminated paper is a promising material for low cost viral protective gowns.

Indexed as

Barrier materialCoating morphologyCOVID-19Medical gownPE laminated PaperVirus protection

Identifiers

PMID33758430
PMCPMC7975575
OpenAlexW3138167080

What OpenQuestion holds

Textmetadata
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.