Evidence map›Paper›PMID 34056334›Full record

ReviewACS omega2021

Biopolymer-Based Filtration Materials.

Christopher R Gough, Kayla Callaway, Everett Spencer, Kilian Leisy, Guoxiang Jiang, Shu Yang, Xiao Hu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in ACS omega, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

7 authors.

Christopher R GoughDepartment of Physics and Astronomy, Rowan University, Glassboro, New Jersey 08028, United States.
Kayla CallawayDepartment of Physics and Astronomy, Rowan University, Glassboro, New Jersey 08028, United States.
Everett SpencerDepartment of Physics and Astronomy, Rowan University, Glassboro, New Jersey 08028, United States.
Kilian LeisyDepartment of Physics and Astronomy, Rowan University, Glassboro, New Jersey 08028, United States.
Guoxiang JiangDepartment of Physics and Astronomy, Rowan University, Glassboro, New Jersey 08028, United States.
Shu YangDepartment of Materials Science and Engineering, University of Pennsylvania, 3231 Walnut Street, Philadelphia, Pennsylvania 19104, United States.ORCID 0000-0001-8834-3320
Xiao HuDepartment of Physics and Astronomy, Rowan University, Glassboro, New Jersey 08028, United States.ORCID 0000-0002-2579-2820

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biobased materials such as cellulose, chitin, silk, soy, and keratin are attractive alternatives to conventional synthetic materials for filtration applications. They are cheap, naturally abundant, and easily fabricated with tunable surface chemistry and functionality. With the planet's increasing crisis due to pollution, the need for proper filtration of air and water is undeniably urgent. Additionally, fibers that are antibacterial and antiviral are critical for public health and in medical environments. The current COVID-19 pandemic has highlighted the necessity for cheap, easily mass-produced antiviral fiber materials. Biopolymers can fill these roles very well by utilizing their intrinsic material properties, surface chemistry, and hierarchical fiber morphologies for efficient and eco-friendly filtration of physical, chemical, and biological pollutants. Further, they are biodegradable, making them attractive as sustainable, biocompatible green filters. This review presents various biopolymeric materials generated from proteins and polysaccharides, their synthesis and fabrication methods, and notable uses in filtration applications.

Identifiers

PMID34056334
PMCPMC8153993

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.