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Electric Field Induced Orientation of Polymer Chains in Macroscopically Aligned Electrospun Polymer Nanofibers
Abstract
The results presented in this work show for the first time that an electric field used to macroscopically align polymer nanofibers can also align polymer chains parallel to the fiber axis. This important result indicates that anisotropic structural properties (mechanical, electrical, etc.) can be induced in polymer nanofibers during the electrospinning process. Such uniaxially oriented nanofibers exhibit a variety of potential applications in biomedicine, microelectronics, and optics. A simple technique of vertical electrospinning with an electric field induced, stationary collection was employed to obtain the molecular orientation in polymer nanofibers. This manuscript describes the orientation process via electrospinning and verifies this molecular orientation in the polymer nanofibers using three independent methods: polarized Fourier transform infrared spectroscopy, polarized Raman scattering, and X-ray diffraction.
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Citations
Cited by
Crystalline Morphology of Electrospun Poly(ε-caprolactone) (PCL) Nanofibers
Wang, X., Zhao, H., Turng, L.-S., & Li, Q. (2013) · Industrial & Engineering Chemistry Research · doi:10.1021/ie302185e · Cited by 203
Thermal conductivity of electrospinning chain-aligned polyethylene oxide (PEO)
Lu, C., Chiang, S. W., Du, H., Li, J., Gan, L., Zhang, X., Chu, X., Yao, Y., Li, B., & Kang, F. (2017) · Polymer · doi:10.1016/j.polymer.2017.02.024 · Cited by 121
Metadata
- Authors
- Kakade, M. V., Givens, S., Gardner, K., Lee, K. H., Chase, D. B., & Rabolt, J. F.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2007-02-16
- Volume
- 129
- Issue
- 10
- Pages
- 2777-2782
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2000503766
- Cited by
- 373
- References
- 0
- FWCI
- 9.96
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
