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Cited by 741

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Superhydrophobic Fabrics Produced by Electrospinning and Chemical Vapor Deposition

Ma, Minglin, Mao, Yu, Gupta, Malancha, Gleason, Karen K., Rutledge, Gregory C.·2005·Macromolecules

Abstract

A versatile method to produce superhydrophobic fabrics by combining electrospinning and initiated chemical vapor deposition (iCVD) is reported. In this study, poly(caprolactone) (PCL) was first electrospun and then coated with a thin layer of hydrophobic polymerized perfluoroalkyl ethyl methacrylate (PPFEMA) by iCVD. The hierarchical surface roughness inherent in the PCL electrospun mats and the extremely low surface free energy of the coating layer obtained by iCVD yields stable superhydrophobicity with a contact angle of 175° and a threshold sliding angle less than 2.5° for a 20 mg droplet. This PPFEMA-coated PCL mat was also shown to exhibit at least “grade 8” oleophobicity. Hydrophobicity was demonstrated to increase monotonically with a reduction in diameter among bead-free fibers and with the introduction of a high density of relatively small diameter beads. The systematic effect of fiber morphology on superhydrophobicity was also investigated theoretically and experimentally using both beaded and bead-free fibers with diameters ranging from 600 to 2200 nm.

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Metadata

Authors
Ma, M., Mao, Y., Gupta, M., Gleason, K. K., & Rutledge, G. C.
Venue
Macromolecules
Published
2005-10-14
Volume
38
Issue
23
Pages
9742-9748
ISSN
  • 0024-9297 (ISSN-L)
  • 1520-5835
OpenAlex
W4243614791
Cited by
741
References
2
FWCI
12.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Superhydrophobic Fabrics Produced by Electrospinning and Chemical Vapor Deposition. https://app.cochat.ai/papers/10.1021/ma0511189
The paper
Ma, M., Mao, Y., Gupta, M., Gleason, K. K., & Rutledge, G. C. (2005). Superhydrophobic Fabrics Produced by Electrospinning and Chemical Vapor Deposition. Macromolecules. https://doi.org/10.1021/ma0511189

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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.