Evidence map›Paper›PMID 42137302›Full record

ReviewResearch (Washington, D.C.)2026

Reinventing Cellulose into Sustainable and Versatile Bioplastics via Molecular-Scale Design.

Minxin Wang, Geyuan Jiang, Suqing Zeng, Dawei Zhao, Haipeng Yu

Abstract readReview
In one paragraph

Review in Research (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Cellulosic Composites in Lithium Metal Batteries.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. 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

5 authors.

Minxin WangKey Laboratory on Resources Chemicals and Materials of Ministry of Education, Shenyang University of Chemical Technology, Shenyang 110142, P. R. China.
Geyuan JiangKey Laboratory on Resources Chemicals and Materials of Ministry of Education, Shenyang University of Chemical Technology, Shenyang 110142, P. R. China.
Suqing ZengState Key Laboratory of Woody Oil Resources Utilization, Northeast Forestry University, Harbin 150040, P. R. China.
Dawei ZhaoKey Laboratory on Resources Chemicals and Materials of Ministry of Education, Shenyang University of Chemical Technology, Shenyang 110142, P. R. China.ORCID https://orcid.org/0000-0003-2813-7263
Haipeng YuState Key Laboratory of Woody Oil Resources Utilization, Northeast Forestry University, Harbin 150040, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellulose, the most abundant natural polymer, is a promising platform for sustainable bioplastics. However, cellulose-based bioplastics derived from macrofibers or nanocellulose still fall short of petrochemical plastics in thermal stability, mechanical performance, and processability. In this work, we systematically examine molecular-scale design strategies to bridge the gap between material properties and processing behavior, including supramolecular network reconstruction, dynamic dissipative systems, and programmable architectures. These approaches enable cellulose bioplastics with improved formability, thermal resistance, mechanical strength, and programmable responsiveness, thereby expanding their potential in aerospace, intelligent construction, high-end protective equipment, and biomedicine. Finally, we outline future research directions to accelerate the development of cellulose-based materials toward high-performance, recyclable, intelligent, and environmentally friendly applications.

Identifiers

PMID42137302
PMCPMC13168756

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.