Evidence map›Paper›PMID 34723004›Full record

ArticleACS omega2021

Improvement in the Filtration Performance of an Ultraporous Nanofiber Membrane by Atmospheric Pressure Plasma-Induced Surface Modification.

Yasuhito Mukai, Song Liu, Yoshihiro Takayama, Yui Hayashi, Kakeru Mano, Shigenori Takahashi, Wahyudiono, Hideki Kanda, Motonobu Goto

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 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
0.5field-weighted citation impact, top 40% 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, 11 citations in OpenAlex.

  1. Article
  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

9 authors at 1 institution in 1 country.

Yasuhito MukaiDepartment of Chemical Systems Engineering, Nagoya University, Nagoya 4648603, Japan.ORCID https://orcid.org/0000-0001-6338-2315
Song LiuDepartment of Chemical Systems Engineering, Nagoya University, Nagoya 4648603, Japan.
Yoshihiro TakayamaDepartment of Chemical Systems Engineering, Nagoya University, Nagoya 4648603, Japan.
Yui HayashiDepartment of Materials Process Engineering, Nagoya University, Nagoya 4648603, Japan.
Kakeru ManoDepartment of Materials Process Engineering, Nagoya University, Nagoya 4648603, Japan.
Shigenori TakahashiDepartment of Materials Process Engineering, Nagoya University, Nagoya 4648603, Japan.
WahyudionoDepartment of Materials Process Engineering, Nagoya University, Nagoya 4648603, Japan.ORCID https://orcid.org/0000-0003-0339-1740
Hideki KandaDepartment of Materials Process Engineering, Nagoya University, Nagoya 4648603, Japan.ORCID https://orcid.org/0000-0002-8393-4276
Motonobu GotoDepartment of Materials Process Engineering, Nagoya University, Nagoya 4648603, Japan.ORCID https://orcid.org/0000-0003-3219-5028
Nagoya University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanofiber membranes have outstanding potential for filtration applications due to their great specific surface area, high porosity, and modifiable structure. Compared to conventional membranes, nanofiber membranes offer substantial high flux and high rejection ratios. This paper provides a comprehensive analysis on the filtration performance of plasma treatment on the polyacrylonitrile nanofiber membrane. The pores in the original membrane were utilized about a mere 10%, while those of the plasma-irradiated membrane were utilized nearly 60%. The membrane modification was performed using N

Identifiers

PMID34723004
PMCPMC8552324
OpenAlexW3206110388

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.