Evidence map›Paper›PMID 42543460›Full record

ArticleNano-micro letters2026

Biomimetic Gradient Porous Core-Shell Fibers with Enhanced Gas Sensing for CO-Temperature Dual-Mode Early Fire Warning.

Lele Huang, Xingyu He, Jianan Jiang, Xiaoqian Li, Mi Zhou, Md Hasib Mia, Min Hong, Hualing He, Siqi Huo, Zhicai Yu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nano-micro letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Lele HuangState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Biomass Fibers and Eco-Dyeing & Finishing, School of Textile Science and Engineering, Wuhan Textile University, Wuhan, 430200, People's Republic of China.
Xingyu HeState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Biomass Fibers and Eco-Dyeing & Finishing, School of Textile Science and Engineering, Wuhan Textile University, Wuhan, 430200, People's Republic of China.
Jianan JiangState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Biomass Fibers and Eco-Dyeing & Finishing, School of Textile Science and Engineering, Wuhan Textile University, Wuhan, 430200, People's Republic of China.
Xiaoqian LiState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Biomass Fibers and Eco-Dyeing & Finishing, School of Textile Science and Engineering, Wuhan Textile University, Wuhan, 430200, People's Republic of China.
Mi ZhouState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Biomass Fibers and Eco-Dyeing & Finishing, School of Textile Science and Engineering, Wuhan Textile University, Wuhan, 430200, People's Republic of China.
Md Hasib MiaKey Laboratory of High Performance Fibers & Products, Ministry of Education, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, People's Republic of China.
Min HongCentre for Future Materials, School of Science, Engineering and Digital Technologies, University of Southern Queensland, Springfield Central, 4300, Australia.
Hualing HeState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Biomass Fibers and Eco-Dyeing & Finishing, School of Textile Science and Engineering, Wuhan Textile University, Wuhan, 430200, People's Republic of China. hehualinghe@126.com.
Siqi HuoCentre for Future Materials, School of Science, Engineering and Digital Technologies, University of Southern Queensland, Springfield Central, 4300, Australia. Siqi.Huo@unisq.edu.au.
Zhicai YuState Key Laboratory of New Textile Materials and Advanced Processing, Hubei Key Laboratory of Biomass Fibers and Eco-Dyeing & Finishing, School of Textile Science and Engineering, Wuhan Textile University, Wuhan, 430200, People's Republic of China. yuzhicaicai@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early fire detection systems that are highly sensitive are essential for reducing the impact of fire disasters. However, their development still faces significant challenges due to the lack of capability for simultaneous monitoring of both temperature and gas. Herein, we propose a facile coaxial wet-spinning strategy to fabricate a dual-parameter fiber sensor capable of simultaneously detecting carbon monoxide (CO) and temperature for early combustion warning. The resulting core-sheath structured fiber consists of a CO sensing sheath made of SnO

Indexed as

Bimodal sensing fiberCoaxial wet spinningCO-temperature detectionEarly fire warningGradient porous

Identifiers

PMID42543460
PMCPMC13429571

What OpenQuestion holds

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LicenceCC BY
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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.