Evidence map›Paper›PMID 42273226›Full record

ArticleResearch (Washington, D.C.)2026

Bioderived Cellulose Aerogel Fibers with Hierarchical Porosity for Millisecond Hydrovoltaic Sensing.

Lanyue Zhang, Yuqing Xie, Shiang Shi, Xiang Chen, Xiaotong Fu, Qichun Feng, Dongdong Ye

Abstract read
In one paragraph

Article in Research (Washington, D.C.), 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

7 authors.

Lanyue ZhangSchool of Materials and Chemistry, Anhui Agricultural University, Hefei, Anhui Province 230036, China.
Yuqing XieSchool of Materials and Chemistry, Anhui Agricultural University, Hefei, Anhui Province 230036, China.
Shiang ShiSchool of Materials and Chemistry, Anhui Agricultural University, Hefei, Anhui Province 230036, China.
Xiang ChenSchool of Materials and Chemistry, Anhui Agricultural University, Hefei, Anhui Province 230036, China.
Xiaotong FuSchool of Materials and Chemistry, Anhui Agricultural University, Hefei, Anhui Province 230036, China.
Qichun FengSchool of Materials and Chemistry, Anhui Agricultural University, Hefei, Anhui Province 230036, China.
Dongdong YeSchool of Materials and Chemistry, Anhui Agricultural University, Hefei, Anhui Province 230036, China.ORCID https://orcid.org/0000-0002-3377-0656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time moisture sensing is crucial for environmental monitoring and food safety. However, conventional humidity sensors relying on moisture-induced changes in conductivity or capacitance are often constrained by sluggish water adsorption-desorption kinetics and inefficient ion transport through disordered nanochannels. Here, we develop cellulose aerogel fibers derived from natural rattan, featuring hierarchical and interconnected porosity, to enable ultrafast hydrovoltaic moisture sensing. The tailored pore network expedites the diffusion of trace moisture and substantially amplifies the solid-liquid interfacial area within the fiber, thereby boosting the formation of electric double layers and enhancing water-ion coupling. Consequently, the self-powered sensor delivers a detectable voltage response within 70 ms upon exposure to only 10 μl of water microdroplets, achieving both rapid detection and high sensitivity. Moreover, the device exhibits versatile responsiveness to multiple environmental parameters, and its sensing behavior can be readily tuned by manipulating the fiber configuration (linear, helical, and branched). All 3 configurations achieve a fast response to approximately 0.1 V within 70 to 310 ms, followed by a voltage increase to 0.49 to 0.63 V within 3 to 5 s. This work highlights the critical role of porosity engineering in cellulose aerogel fibers and provides a new strategy for developing high-performance biomass-based hydrovoltaic sensing systems.

Identifiers

PMID42273226
PMCPMC13247317

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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.