Moisture-Resistant, High-Performance Polarizing Films via Aligned PMMA/CNT Composite Fibers: A Scalable Electrospinning Approach
Traditional iodine-based polyvinyl alcohol (PVA) polarizers encounter considerable durability challenges, especially in humid conditions, due to poor moisture resistance. This study presents an innovative organic-inorganic composite film composed of poly(methyl methacrylate) (PMMA) and carbon nanotubes (CNTs), fabricated via electrospinning, solvent vapor annealing (SVA), and uniaxial stretching. Pre-aligned PMMA/CNT composite fibers were electrospun and underwent SVA to stabilize the structure and reduce inter-fiber porosity. Further uniaxial stretching aligned the CNTs, enhancing optical anisotropy and polarization performance. The optimized parameters, 45 min of SVA and 75% stretching strain, produced composite films with a polarization degree exceeding 60%, which was combined with exceptional moisture resistance (<2% weight variation under 90% relative humidity). The integration of CNTs enhanced mechanical stability while preserving alignment during post-processing, thereby tackling the crucial challenge of scalable nanomaterial orientation. This study provides a scalable, cost-effective approach for developing durable polarizing materials with enhanced performance for optical devices in demanding environments.
Authors
- Xueyang Chen (ORCID: https://orcid.org/0000-0002-2740-4772)
- Qianqian Yu (ORCID: https://orcid.org/0000-0001-5731-3356)
- Linge Wang (ORCID: https://orcid.org/0000-0002-5534-5466)
- Xue‐Hui Dong (ORCID: https://orcid.org/0000-0002-6395-3103)
- Yanyu Gao
- Yunjie Zhang (ORCID: https://orcid.org/0009-0006-4418-611X)
Institutions
- South China University of Technology (CN)
Publication Details
- Journal
- Molecules
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3390/molecules30102169
- Citations
- 1
- Primary Topic
- Electrospun Nanofibers in Biomedical Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.60
Funders
- South China University of Technology