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Cited by 373

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Electric Field Induced Orientation of Polymer Chains in Macroscopically Aligned Electrospun Polymer Nanofibers

Kakade, Meghana V., Givens, Steven, Gardner, Kenncorwin, Lee, Keun Hyung, Chase, D. Bruce, Rabolt, John F.·2007·Journal of the American Chemical Society

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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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
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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CoChat. (2026). Citation check: Electric Field Induced Orientation of Polymer Chains in Macroscopically Aligned Electrospun Polymer Nanofibers. https://app.cochat.ai/papers/10.1021/ja065043f
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Kakade, M. V., Givens, S., Gardner, K., Lee, K. H., Chase, D. B., & Rabolt, J. F. (2007). Electric Field Induced Orientation of Polymer Chains in Macroscopically Aligned Electrospun Polymer Nanofibers. Journal of the American Chemical Society. https://doi.org/10.1021/ja065043f

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.