The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Micro- and nanoscale characterization of hydrophobic and hydrophilic leaf surfaces
Open accessAbstract
Superhydrophobic surfaces as well as low adhesion and friction are desirable for various industrial applications. Certain plant leaves are known to be hydrophobic in nature due to their roughness and the presence of a thin wax film on the surface of the leaf. The purpose of this study is to fully characterize the leaf surfaces on the micro- and nanoscale while separating out the effects of the micro- and the nanobumps of hydrophobic leaves on the hydrophobicity. Hydrophilic leaves were also studied to better understand the role of wax and roughness. Furthermore, the adhesion and friction properties of hydrophobic and hydrophilic leaves were studied. Using an optical profiler and an atomic/friction force microscope (AFM/FFM), measurements were made to fully characterize the leaf surfaces. It is shown that the nanobumps play a more important role than the microbumps in the hydrophobic nature as well as friction of the leaf. This study will be useful in developing superhydrophobic surfaces.
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Cites
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Cited by
Quéré, D. (2008) · Annual Review of Materials Research · doi:10.1146/annurev.matsci.38.060407.132434 · Cited by 2,691
Multifunctional surface structures of plants: An inspiration for biomimetics
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Bhushan, B., & Jung, Y. C. (2008) · Journal of Physics: Condensed Matter · doi:10.1088/0953-8984/20/22/225010 · Cited by 344
Self-citationLiu, Y., Tang, J., Wang, R., Lu, H., Li, L., Kong, Y., Qi, K., & Xin, J. H. (2007) · J. Mater. Chem. · doi:10.1039/b613914k · Cited by 273
Metadata
- Authors
- Bhushan, B., & Jung, Y. C.
- Venue
- Nanotechnology
- Publisher
- IOP Publishing
- Published
- 2006-05-16
- Volume
- 17
- Issue
- 11
- Pages
- 2758-2772
- ISSN
- 0957-4484 (ISSN-L)
- 1361-6528
- OpenAlex
- W2055813285
- Cited by
- 351
- References
- 26
- FWCI
- 10.93
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
