Development and Characterization of a Poly(<scp>l</scp>‐<i>co</i>‐<scp>d</scp>,<scp>l</scp> Lactic Acid‐<i>co</i>‐Trimethylene Carbonate) and Poly(Vinyl Alcohol) Blend for Potential Meniscal Repair

ABSTRACT Meniscal injuries, arising from trauma, aging, or wear, present a significant challenge in modern orthopedics. This study aimed to develop and analyze the properties of a blend composed of poly( l ‐ co ‐ l , l ‐lactic acid‐ co ‐trimethylene carbonate) (PLDLA‐TMC) and poly(vinyl alcohol) (PVA) in a 50/50 ratio, prepared by physical crosslinking, with the aim of evaluating its potential as a biomaterial for meniscus application. FTIR results revealed physical interactions between PLDLA‐TMC and PVA. SEM analysis showed a porous and rough surface in the blend, with an average pore size of 115 μm, which may favor cell proliferation. Additionally, the blend exhibited a high crosslinking density (3.2 × 10 −3 g/cm 3 ), influencing the percentage of pores and contributing to the increased rigidity of the material, as observed in the mechanical compression test. The in vitro biological assay demonstrated that the material is biocompatible. These properties suggest that the blend is a promising candidate for supporting meniscal injury repair.

Authors

Institutions

Publication Details

Journal
Journal of Applied Polymer Science
Published
2025-07-25
DOI
https://doi.org/10.1002/app.57675
Citations
1
Primary Topic
biodegradable polymer synthesis and properties
Type
article
Field-Weighted Citation Impact
0.60

Funders

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

Development and Characterization of a Poly(l‐co‐d,l Lactic Acid‐co‐Trimethylene Carbonate) and Poly(Vinyl Alcohol) Blend for Potential Meniscal Repair

Eliana Aparecida de Rezende Duek, Jéssica Asami, Thais Alves, Daniel Komatsu et al.
1 citations
Journal of Applied Polymer Science
biodegradable polymer synthesis and properties
0.60
article

Development and Characterization of a Poly(l‐co‐d,l Lactic Acid‐co‐Trimethylene Carbonate) and Poly(Vinyl Alcohol) Blend for Potential Meniscal Repair

Eliana Aparecida de Rezende Duek, Jéssica Asami, Thais Alves, Daniel Komatsu, Moema de Alencar Hausen, Renata Leme, Marco V. Chaud, Bruna V. Quevedo, Adriana Cristina Motta, Gabriella Monteiro Alves
article en
1 citations

Abstract

ABSTRACT Meniscal injuries, arising from trauma, aging, or wear, present a significant challenge in modern orthopedics. This study aimed to develop and analyze the properties of a blend composed of poly( l ‐ co ‐ l , l ‐lactic acid‐ co ‐trimethylene carbonate) (PLDLA‐TMC) and poly(vinyl alcohol) (PVA) in a 50/50 ratio, prepared by physical crosslinking, with the aim of evaluating its potential as a biomaterial for meniscus application. FTIR results revealed physical interactions between PLDLA‐TMC and PVA. SEM analysis showed a porous and rough surface in the blend, with an average pore size of 115 μm, which may favor cell proliferation. Additionally, the blend exhibited a high crosslinking density (3.2 × 10 −3 g/cm 3 ), influencing the percentage of pores and contributing to the increased rigidity of the material, as observed in the mechanical compression test. The in vitro biological assay demonstrated that the material is biocompatible. These properties suggest that the blend is a promising candidate for supporting meniscal injury repair.

Journal of Applied Polymer ScienceVol. 142(43)
Universidade Federal de São Carlos (BR), Universidade de Sorocaba (BR), Pontifícia Universidade Católica de São Paulo (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Openalex Percentile: Top 31%
biodegradable polymer synthesis and properties
0.60
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.