Probing into the Selective Nucleation Mechanism of Poly(methyl methacrylate) Modified Cellulose Nanocrystals in Enantiomeric Poly(lactic acid) Blends

Despite the superior performance of stereocomplex crystallites (SCs) formed between poly(l-lactic acid) (PLLA) and poly(d-lactic acid) (PDLA), achieving exclusive SC crystallization based on environmentally friendly strategies remains a challenge. This study systematically investigates the impact of poly(methyl methacrylate) (PMMA)-modified cellulose nanocrystals (CNCs-PMMA) on the crystallization behavior and phase evolution of enantiomeric PLA blends. Experiments demonstrate that CNCs-PMMA acts as an effective nucleating agent for SCs, increasing the nucleation density, crystallinity, and relative fraction of SCs. Exclusive formation of SCs is achieved with the addition of 3 wt % CNCs-PMMA. By comparing the crystallization behavior of PLLA/PDLA/PMMA triple blends, the selective nucleation mechanism of CNCs-PMMA is elucidated. First, the dilution effect of PMMA enriched at the CNCs/PLA matrix interface inhibits homocrystallization, thereby maximizing the thermodynamic advantages of SC crystallization and the inherent nucleating effect of CNCs. Second, the CNC filler network improves the compatibility between PLA enantiomers while also suppressing the phase separation between high-molecular-weight components. Overall, this work reveals the selective nucleation mechanism of polymer-grafted CNCs on SCs and expands the application scope of biomass nanoparticles as multifunctional nanofillers.

Authors

Institutions

Publication Details

Journal
Macromolecules
Published
2025-02-24
DOI
https://doi.org/10.1021/acs.macromol.4c02545
Citations
8
Primary Topic
biodegradable polymer synthesis and properties
Type
article
Field-Weighted Citation Impact
4.78

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Probing into the Selective Nucleation Mechanism of Poly(methyl methacrylate) Modified Cellulose Nanocrystals in Enantiomeric Poly(lactic acid) Blends

Xiangdong Hua, Yongxin Duan, Hao Wu, Jian She Hu et al.
8 citations
Macromolecules
biodegradable polymer synthesis and properties
4.78
article

Probing into the Selective Nucleation Mechanism of Poly(methyl methacrylate) Modified Cellulose Nanocrystals in Enantiomeric Poly(lactic acid) Blends

Xiangdong Hua, Yongxin Duan, Hao Wu, Jian She Hu, Jianming Zhang, Yunxiao Liu
article en
8 citations

Abstract

Despite the superior performance of stereocomplex crystallites (SCs) formed between poly(l-lactic acid) (PLLA) and poly(d-lactic acid) (PDLA), achieving exclusive SC crystallization based on environmentally friendly strategies remains a challenge. This study systematically investigates the impact of poly(methyl methacrylate) (PMMA)-modified cellulose nanocrystals (CNCs-PMMA) on the crystallization behavior and phase evolution of enantiomeric PLA blends. Experiments demonstrate that CNCs-PMMA acts as an effective nucleating agent for SCs, increasing the nucleation density, crystallinity, and relative fraction of SCs. Exclusive formation of SCs is achieved with the addition of 3 wt % CNCs-PMMA. By comparing the crystallization behavior of PLLA/PDLA/PMMA triple blends, the selective nucleation mechanism of CNCs-PMMA is elucidated. First, the dilution effect of PMMA enriched at the CNCs/PLA matrix interface inhibits homocrystallization, thereby maximizing the thermodynamic advantages of SC crystallization and the inherent nucleating effect of CNCs. Second, the CNC filler network improves the compatibility between PLA enantiomers while also suppressing the phase separation between high-molecular-weight components. Overall, this work reveals the selective nucleation mechanism of polymer-grafted CNCs on SCs and expands the application scope of biomass nanoparticles as multifunctional nanofillers.

MacromoleculesVol. 58(5)
Qingdao University of Science and Technology (CN)
National Natural Science Foundation of China, Postdoctoral Innovation Project of Shandong Province
Openalex Percentile: Top 5%
biodegradable polymer synthesis and properties
4.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.