Evidence map›Paper›PMID 31792730›Full record

ArticleNanoscale research letters2019

Transparent Polyurethane Nanofiber Air Filter for High-Efficiency PM2.5 Capture.

Wen Liang, Yuan Xu, Xiao Li, Xiao-Xiong Wang, Hong-Di Zhang, Miao Yu, Seeram Ramakrishna, Yun-Ze Long

Abstract read
In one paragraph

Article in Nanoscale research letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  16. Electrospun ultrafine fibers for advanced face masks.Materials science & engineering. R, Reports : a review journal · 2021
    Review
  17. Article
  18. Article
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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

8 authors.

Wen LiangCollaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China.
Yuan XuCollaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China.
Xiao LiCollaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China.
Xiao-Xiong WangCollaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China.
Hong-Di ZhangCollaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China.
Miao YuCollaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China.
Seeram RamakrishnaCollaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China.
Yun-Ze LongCollaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China. yunze.long@163.com.

Funding

National Natural Science Foundation of China 51703102Natural Science Foundation of Shandong Province ZR2016AM22Postdoctoral Research Foundation of China 2016M592128Scientific Research Foundation of Graduate School of Harbin Medical University: Sino Russian Special Fund 2017009
6 · The paper itself

Abstract

Fine particulate matter (PM) has seriously affected human life, such as affecting human health, climate, and ecological environment. Recently, many researchers use electrospinning to prepare nanofiber air filters for effective removal of fine particle matter. However, electrospinning of the polymer fibers onto the window screen uniformly is only achieved in the laboratory, and the realization of industrialization is still very challenging. Here, we report an electrospinning method using a rotating bead spinneret for large-scale electrospinning of thermoplastic polyurethane (TPU) onto conductive mesh with high productivity of 1000 m

Indexed as

Air filterElectrospinningNanofibersPM2.5Removal efficiency

Identifiers

PMID31792730
PMCPMC6889091

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.