Evidence map›Paper›PMID 41657284›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Conformation-Modulated Lignin for Durable and High-Output Cellulosic Triboelectric Materials Toward Self-Powered Sensing.

Lujie Wang, Jian Du, Yilin Wang, Tianshuang Bao, Chao Li, Yehan Tao, Jinwen Hu, Chenglong Fu, Dong Lv, Weiwei Zhao and 2 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

12 authors.

Lujie WangLiaoning Key Lab of Lignocellulose Chemistry and BioMaterials, Liaoning Collaborative Innovation Center for Lignocellulosic Biorefinery, College of Light Industry and Chemical Engineering, Dalian Polytechnic University, Dalian, China.
Jian DuLiaoning Key Lab of Lignocellulose Chemistry and BioMaterials, Liaoning Collaborative Innovation Center for Lignocellulosic Biorefinery, College of Light Industry and Chemical Engineering, Dalian Polytechnic University, Dalian, China.ORCID https://orcid.org/0000-0002-9134-1462
Yilin WangLiaoning Key Lab of Lignocellulose Chemistry and BioMaterials, Liaoning Collaborative Innovation Center for Lignocellulosic Biorefinery, College of Light Industry and Chemical Engineering, Dalian Polytechnic University, Dalian, China.
Tianshuang BaoLiaoning Key Lab of Lignocellulose Chemistry and BioMaterials, Liaoning Collaborative Innovation Center for Lignocellulosic Biorefinery, College of Light Industry and Chemical Engineering, Dalian Polytechnic University, Dalian, China.
Chao LiLiaoning Key Lab of Lignocellulose Chemistry and BioMaterials, Liaoning Collaborative Innovation Center for Lignocellulosic Biorefinery, College of Light Industry and Chemical Engineering, Dalian Polytechnic University, Dalian, China.
Yehan TaoLiaoning Key Lab of Lignocellulose Chemistry and BioMaterials, Liaoning Collaborative Innovation Center for Lignocellulosic Biorefinery, College of Light Industry and Chemical Engineering, Dalian Polytechnic University, Dalian, China.
Jinwen HuLiaoning Key Lab of Lignocellulose Chemistry and BioMaterials, Liaoning Collaborative Innovation Center for Lignocellulosic Biorefinery, College of Light Industry and Chemical Engineering, Dalian Polytechnic University, Dalian, China.
Chenglong FuLiaoning Key Lab of Lignocellulose Chemistry and BioMaterials, Liaoning Collaborative Innovation Center for Lignocellulosic Biorefinery, College of Light Industry and Chemical Engineering, Dalian Polytechnic University, Dalian, China.
Dong LvSchool of Energy and Environment, City University of Hong Kong, Hong Kong, China.
Weiwei ZhaoBirmingham Centre for Energy Storage (BCES) & School of Chemical Engineering, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0001-9708-4252
Zhanhui YuanCollege of Materials Engineering, Fujian Agriculture and Forestry University, Fuzhou, China.ORCID https://orcid.org/0000-0003-2670-990X
Haisong WangLiaoning Key Lab of Lignocellulose Chemistry and BioMaterials, Liaoning Collaborative Innovation Center for Lignocellulosic Biorefinery, College of Light Industry and Chemical Engineering, Dalian Polytechnic University, Dalian, China.

Funding

Liaoning Provincial Natural Science Foundation 2025-MS-151National Natural Science Foundation of China 22208038National Natural Science Foundation of China 22208040National Natural Science Foundation of China 22278047Research England Developement Fund C-DICEUniversities of Liaoning Province LJBKY2024055
6 · The paper itself

Abstract

Cellulose-based triboelectric sensors offer a sustainable pathway toward self-powered electronics, yet their practical reliability is severely constrained by long-term tribo-induced fiber fibrillation and the resulting interfacial degradation. Herein, we report a conformation-engineered alkali lignin (EAL) that enables simultaneous enhancement of mechanical durability and electrical output in cellulose-based triboelectric materials. Succinic-anhydride grafting introduces flexible aliphatic side chains into the rigid lignin backbone, granting dynamic conformational adaptability that promotes chain sliding and efficient frictional energy dissipation. This molecular strategy significantly suppresses interfacial wear, reducing the wear rate of the EAL/Cellulose composite by 52.44% after 5000 cycles. Conformation modulation also improves dielectric polarization, leading to markedly increased triboelectric performance, with the optimized device delivering high Voc, Isc, and Qsc values of 100 V, 5.26 µA, and 56.87 nC. The EAL/Cellulose-based sensor exhibits high signal fidelity in robotic finger sliding detection and handwriting recognition, and maintains stable performance after 500 times repeated writing. In addition, the EAL/Cellulose composite demonstrates strong recyclability in a natural environment and rapid enzymatic degradability within 24 h. This work presented a conformation-guided molecular design strategy for developing durable, high-output, and eco-friendly cellulose-based triboelectric devices for next-generation self-powered sensing.

Indexed as

conformation modulationesterified alkali ligninself‐powered sensortriboelectric nanogenerator

Identifiers

PMID41657284
PMCPMC13042924

What OpenQuestion holds

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Registered trials

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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.