Cited by 9Advanced Cellulose Research Studiesbiodegradable polymer synthesis and propertiesPolymer crystallization and properties

Synergistic enhancement and spherulite growth mechanism of PLA composites by multi-dimensional mineralized cellulose nanocrystals

Wu, Chao, Wu, Bunan, Abdalkarim, Somia Yassin Hussain, Wang, Mingxin, Zou, Zongjun, Jin, Meijin, Yu, Hou-Yong·2025·Carbohydrate Polymers

Abstract

Cellulose nanocrystals (CNCs) are promising reinforcements for bio-based polylactic acid (PLA); however, their one-dimensional (1D) structure limits their effectiveness due to insufficient hydrogen bonding with PLA chains and inadequate promotion of spherulite formation, resulting in suboptimal dispersion. To address this issue, this study introduces a novel approach by creating mineralized cellulose nanocrystals (MCNC) with multi-dimensional morphologies through in-situ CaCO 3 growth. Three variants of MCNC are incorporated into PLA, including the MCNC 3 variant, which features a 3D cubic crystal structure that significantly enhances PLA spherulite growth by providing additional nucleation sites. This leads to accelerated crystallization rates and an optimized crystal structure, as evidenced by a 3.9 °C reduction in cold crystallization temperature and a 17.1 % increase in crystallinity compared to pure PLA. Furthermore, the rigidity of inorganic CaCO₃ and the toughness of CNC synergistically enhance the mechanical properties of PLA composites through stress dispersion mechanisms, including a 34.6 % increase in tensile strength and an 84.3 % improvement in elongation at break, along with enhanced water permeability and faster degradation rates. Overall, this study presents a novel and multi-dimensional reinforcement strategy to effectively addresses the constraints of traditional CNCs, offering comprehensive improvements that make PLA/MCNC a viable eco-friendly substitute for agricultural mulch films and sustainable packaging solutions.

Integrity signals

Registry

Crossref · 10.1016/j.carbpol.2025.123926

Cites

58 of 58 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Wu, C., Wu, B., Abdalkarim, S. Y. H., Wang, M., Zou, Z., Jin, M., & Yu, H.-Y.
Affiliations
  • Zhejiang Sci-Tech University (CN)
  • Huafon Group (China) (CN)
Corresponding author
Yu, Hou-Yong
Venue
Carbohydrate Polymers
Publisher
Elsevier BV
Published
2025-10
Volume
366
Pages
123926
ISSN
0144-8617 (ISSN-L)
OpenAlex
W4411440714
Cited by
9
References
58
Citations by year
2026: 5 · 2025: 4
FWCI
1.89
Type
journal article
Language
en
Open access
closed
Locations
  • Carbohydrate Polymers (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Natural Science Foundation of Zhejiang Province (LR22E030002)
  • National Natural Science Foundation of China (52273095)
  • Key Research and Development Program of Zhejiang Province (2022C01049)
Topics
  • Physical Sciences › Materials Science › Biomaterials › Advanced Cellulose Research Studies
  • Physical Sciences › Materials Science › Biomaterials › biodegradable polymer synthesis and properties
  • Physical Sciences › Materials Science › Polymers and Plastics › Polymer crystallization and properties
Keywords
polylactic acid composites, cellulose nanocrystals, calcium carbonate, spherulite growth, nucleation, crystallization, mechanical properties, water permeability, biodegradation, agricultural mulch films, sustainable packaging, bio-based polymers

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review