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Virus-Based Fabrication of Micro- and Nanofibers Using Electrospinning
Abstract
Long rod-shaped M13 viruses were used to fabricate one-dimensional (1D) micro- and nanosized diameter fibers by mimicking the spinning process of the silk spider. Liquid crystalline virus suspensions were extruded through the micrometer diameter capillary tubes in a cross-linking solution of glutaraldehyde. Resulting fibers were 10−20 μm in diameter. AFM imaging verified that the molecular long axis of the virus fibers was parallel to the fiber long axis. M13 viruses were suspended in 1,1,1,3,3,3-hexafluoro-2-propanol and were then electrospun into fibers. After blending with a highly water soluble polymer, polyvinyl pyrolidone (PVP), M13 viruses were spun into continuous uniform virus-blended PVP (virus-PVP) nanofibers. Resulting virus-PVP electrospun fibers maintained their ability to infect bacterial hosts after resuspending in buffer solution.
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Cited by
Formulation, stabilisation and encapsulation of bacteriophage for phage therapy
Malik, D. J., Sokolov, I. J., Vinner, G. K., Mancuso, F., Cinquerrui, S., Vladisavljevic, G. T., Clokie, M. R. J., Garton, N. J., Stapley, A. G. F., & Kirpichnikova, A. (2017) · Advances in Colloid and Interface Science · doi:10.1016/j.cis.2017.05.014 · Cited by 594
Metadata
- Authors
- Lee, S.-W., & Belcher, A. M.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2004-02-20
- Volume
- 4
- Issue
- 3
- Pages
- 387-390
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2040065738
- Cited by
- 195
- References
- 0
- FWCI
- 6.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lee, S.-W., & Belcher, A. M. (2004). Virus-Based Fabrication of Micro- and Nanofibers Using Electrospinning. Nano Letters. https://doi.org/10.1021/nl034911t
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
