Evidence map›Paper›PMID 41927561›Full record

ArticleNature communications2026

Semi-transparent and eco-friendly face masks for PM

Zungui Shao, Yongkui Liu, Shikang Huo, Shuncong Zhong, Qiukun Zhang, Jianxiong Chen, Hui Chen, Bing Wang, Zhanwen Xu, Yuanhong Chang and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

12 authors.

Zungui ShaoFujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China.ORCID http://orcid.org/0000-0003-3803-0064
Yongkui LiuFujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China.
Shikang HuoFujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China.
Shuncong ZhongFujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China. sczhong@fzu.edu.cn.ORCID http://orcid.org/0000-0001-8999-2701
Qiukun ZhangFujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China.
Jianxiong ChenSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China.
Hui ChenSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China.ORCID http://orcid.org/0000-0003-0787-7705
Bing WangFujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China.ORCID http://orcid.org/0000-0002-1480-3301
Zhanwen XuFujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China.
Yuanhong ChangFujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China.ORCID http://orcid.org/0000-0003-4655-9400
Gaofeng ZhengPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, China. zheng_gf@xmu.edu.cn.ORCID http://orcid.org/0000-0003-0870-6166
Liwei LinBerkeley Sensor and Actuator Center and Department of Mechanical Engineering, University of California Berkeley, Berkeley, CA, USA. lwlin@me.berkeley.edu.ORCID http://orcid.org/0000-0001-7083-624X

Funding

Fujian Provincial Department of Science and Technology (Department of Science and Technology of Fujian Province) 2024J010011Fujian Provincial Department of Science and Technology (Department of Science and Technology of Fujian Province) 2025J08024National Natural Science Foundation of China (National Science Foundation of China) 52575458
6 · The paper itself

Abstract

To address the need for sustainable high-performance face masks, we demonstrate a strategy that utilizes zein for efficient nanofabrication. An electrospinning process controllably splits the fluid jet, allowing for the creation of face masks composed of fine, fractal-like nanofibers without the need for impurity excipients. This process, enabled by an dipole-force-induced interfacial fluctuation mechanism that we identified, results in face masks that achieve exceptional air filtration performance, surpassing that of commercial N95 masks, while reducing both weight and thickness by half. The significant reduction in material use grants the face masks high optical transparency, facilitating unobstructed facial recognition. Crucially, the pure zein composition allows for the reprocessing of the face masks, contributing to further resource conservation. This work provides a simple, eco-friendly solution for advanced personal protection and points the way toward sustainable wearable devices.

Indexed as

Biomimetic MaterialsBiomimeticsFiltrationMasksNanofibersFractalsHumansWearable Electronic Devices

Identifiers

PMID41927561
PMCPMC13216335

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.