Evidence map›Paper›PMID 40685962›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Cellulosic Functional Bioplastic with Tunable Strength and Toughness Through Heat-Treatment of Dynamic Covalent Networks.

Xiangyu Tang, Linlin Zhao, Yunfeng Guo, Ying Wang, Zhenke Wei, Xinyan Fan, Zefang Xiao, Haigang Wang, Yanjun Xie, Yonggui Wang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Xiangyu TangKey Laboratory of Bio-based Material Science and Technology (Ministry of Education), College of Material Science and Engineering, Northeast Forestry University, Hexing 26 Road, Harbin, 150040, P. R. China.
Linlin ZhaoKey Laboratory of Bio-based Material Science and Technology (Ministry of Education), College of Material Science and Engineering, Northeast Forestry University, Hexing 26 Road, Harbin, 150040, P. R. China.
Yunfeng GuoKey Laboratory of Bio-based Material Science and Technology (Ministry of Education), College of Material Science and Engineering, Northeast Forestry University, Hexing 26 Road, Harbin, 150040, P. R. China.
Ying WangKey Laboratory of Bio-based Material Science and Technology (Ministry of Education), College of Material Science and Engineering, Northeast Forestry University, Hexing 26 Road, Harbin, 150040, P. R. China.
Zhenke WeiKey Laboratory of Bio-based Material Science and Technology (Ministry of Education), College of Material Science and Engineering, Northeast Forestry University, Hexing 26 Road, Harbin, 150040, P. R. China.
Xinyan FanKey Laboratory of Bio-based Material Science and Technology (Ministry of Education), College of Material Science and Engineering, Northeast Forestry University, Hexing 26 Road, Harbin, 150040, P. R. China.
Zefang XiaoKey Laboratory of Bio-based Material Science and Technology (Ministry of Education), College of Material Science and Engineering, Northeast Forestry University, Hexing 26 Road, Harbin, 150040, P. R. China.
Haigang WangKey Laboratory of Bio-based Material Science and Technology (Ministry of Education), College of Material Science and Engineering, Northeast Forestry University, Hexing 26 Road, Harbin, 150040, P. R. China.
Yanjun XieKey Laboratory of Bio-based Material Science and Technology (Ministry of Education), College of Material Science and Engineering, Northeast Forestry University, Hexing 26 Road, Harbin, 150040, P. R. China.
Yonggui WangKey Laboratory of Bio-based Material Science and Technology (Ministry of Education), College of Material Science and Engineering, Northeast Forestry University, Hexing 26 Road, Harbin, 150040, P. R. China.ORCID https://orcid.org/0000-0002-5135-1367

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing environmental crisis caused by petroleum-based polymers has intensified the development of sustainable alternatives, with many biomass-derived polymers demonstrating potential for degradability, renewability, and low carbon footprints, though these properties can vary depending on structure and processing. However, traditional bio-based systems often lack tunability in mechanical properties, making it challenging to achieve both high strength and ductility. Herein, we report a high-performance, recyclable bio-based film (CAF-L) constructed via Diels-Alder dynamic covalent chemistry between furfuryl-functionalized cellulose acetate and maleimide-modified lignin. Thermally responsive dynamic Diels-Alder bonds, activated through heat-treatment, enable programmable network crosslinking that allows a smooth transition between strength- and ductility-dominated regimes, while maintaining high mechanical performance (tensile strength up to 52.3 MPa and elongation at break up to 545%). Structural characterization and molecular simulations reveal that Diels-Alder bond dynamics drive thermally induced structural reorganization of the polymer network, imparting rare adaptivity to biomass-based systems. In addition, CAF-L films exhibit outstanding UV shielding, oxygen barrier properties, and dual-mode recyclability through solvent dissolution and hot pressing. This work provides a scalable platform for constructing mechanically tunable, structurally reconfigurable, and environmentally resilient cellulosic bioplastic for sustainable packaging and circular material systems.

Indexed as

cellulosediels‐alder reactionheat‐treatmentlignintunable mechanical

Identifiers

PMID40685962
PMCPMC12520483

What OpenQuestion holds

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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.