Evidence map›Paper›PMID 35439249›Full record

ArticlePloS one2022

Low cost centrifugal melt spinning for distributed manufacturing of non-woven media.

Anton Molina, Pranav Vyas, Nikita Khlystov, Shailabh Kumar, Anesta Kothari, Dave Deriso, Zhiru Liu, Samhita Banavar, Eliott Flaum, Manu Prakash

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Anton MolinaDepartment of Materials Science and Engineering, Stanford University, Stanford, California, United States of America.
Pranav VyasDepartment of Bioengineering, Stanford University, Stanford, California, United States of America.
Nikita KhlystovDepartment of Chemical Engineering, Stanford University, Stanford, California, United States of America.
Shailabh KumarDepartment of Bioengineering, Stanford University, Stanford, California, United States of America.
Anesta KothariDepartment of Bioengineering, Stanford University, Stanford, California, United States of America.
Dave DerisoDepartment of Electrical Engineering, Stanford University, Stanford, California, United States of America.
Zhiru LiuDepartment of Applied Physics, Stanford University, Stanford, California, United States of America.ORCID 0000-0002-2604-631X
Samhita BanavarDepartment of Bioengineering, Stanford University, Stanford, California, United States of America.
Eliott FlaumProgram in Biophysics, Stanford University, Stanford, California, United States of America.ORCID 0000-0001-8737-7967
Manu PrakashDepartment of Bioengineering, Stanford University, Stanford, California, United States of America.ORCID 0000-0002-8046-8388

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Centralized manufacturing and global supply chains have emerged as an efficient strategy for large-scale production of goods throughout the 20th century. However, while this system of production is highly efficient, it is not resilient. The COVID-19 pandemic has seen numerous supply chains fail to adapt to sudden changes in supply and demand, including those for goods critical to the pandemic response such as personal protective equipment. Here, we consider the production of the non-woven polypropylene filtration media used in face filtering respirators (FFRs). The FFR supply chain's reliance on non-woven media sourced from large, centralized manufacturing facilities led to a supply chain failure. In this study, we present an alternative manufacturing strategy that allows us to move towards a more distributed manufacturing practice that is both scalable and robust. Specifically, we demonstrate that a fiber production technique known as centrifugal melt spinning can be implemented with modified, commercially-available cotton candy machines to produce nano- and microscale non-woven fibers. We evaluate several post processing strategies to transform the produced material into viable filtration media and then characterize these materials by measuring filtration efficiency and breathability, comparing them against equivalent materials used in commercially-available FFRs. Additionally, we demonstrate that waste plastic can be processed with this technique, enabling the development of distributed recycling strategies to address the growing plastic waste crisis. Since this method can be employed at small scales, it allows for the development of an adaptable and rapidly deployable distributed manufacturing network for non-woven materials that is financially accessible to more people than is currently possible.

Indexed as

COVID-19PandemicsHumansPersonal Protective EquipmentPlasticsVentilators, MechanicalPlastics

Identifiers

PMID35439249
PMCPMC9017944

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.