Evidence map›Paper›PMID 41726718›Full record

ArticleACS omega2026

Conductive Poly(vinyl alcohol)/Multiwalled Carbon Nanotubes Nanofiber Membranes with High Environmental Stability.

Hui Xiao, Hongyu Lin, Jingyi Wang, Chuanli Yu, Huaxin Wang, Liqun Chen, Hongbing Jia

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2026. 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

7 authors.

Hui XiaoSchool of New Materials and Shoes & Clothing Engineering, Liming Vocational University, Quanzhou 362000, China.ORCID https://orcid.org/0000-0003-3156-2674
Hongyu LinSchool of New Materials and Shoes & Clothing Engineering, Liming Vocational University, Quanzhou 362000, China.
Jingyi WangSchool of New Materials and Shoes & Clothing Engineering, Liming Vocational University, Quanzhou 362000, China.ORCID https://orcid.org/0000-0002-7192-533X
Chuanli YuKey Laboratory for Soft Chemistry and Functional Materials of Ministry of Education, Nanjing University of Science and Technology, Nanjing 210094, China.
Huaxin WangSchool of New Materials and Shoes & Clothing Engineering, Liming Vocational University, Quanzhou 362000, China.
Liqun ChenHTT Material Technology CO. Ltd., Quanzhou 362005, China.
Hongbing JiaKey Laboratory for Soft Chemistry and Functional Materials of Ministry of Education, Nanjing University of Science and Technology, Nanjing 210094, China.ORCID https://orcid.org/0000-0003-2127-3983

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poly-(vinyl alcohol) (PVA) has good processability and design flexibility, making its conductive nanofiber membranes promising for bioelectronics and regenerative medicine. However, the hydrophilic nature of PVA results in poor water stability, which disrupts the conductive network and limits the environmental adaptability. In this study, conductive PVA nanofiber membranes with uniformly dispersed multiwalled carbon nanotubes (MWCNTs) were fabricated via electrospinning. The micromorphology and electrical and mechanical properties of nanofiber membranes were investigated. The results show that conductive pathways are established in nanofiber membranes by incorporating MWCNTs. Compared with pure PVA nanofiber membranes, those containing MWCNTs exhibit lower surface resistivity and improved mechanical properties. At a loading of 1.6 wt % MWCNTs, the membrane displayed a reduction in surface resistivity by 4 orders of magnitude (6.65 × 10

Identifiers

PMID41726718
PMCPMC12917829

What Socratic 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 Socratic graph.