The DOI matches its Crossref record; 125 of the 125 references it cites were found in a registry or an index.
Microfluidic methods for forming liposomes
Abstract
Liposome structures have a wide range of applications in biology, biochemistry, and biophysics. As a result, several methods for forming liposomes have been developed. This review provides a critical comparison of existing microfluidic technologies for forming liposomes and, when applicable, a comparison with their analogous macroscale counterparts. The properties of the generated liposomes, including size, size distribution, lamellarity, membrane composition, and encapsulation efficiency, form the basis for comparison. We hope that this critique will allow the reader to make an informed decision as to which method should be used for a given biological application.
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Cites
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Cited by
New developments in liposomal drug delivery
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Octanol-assisted liposome assembly on chip
Deshpande, S., Caspi, Y., Meijering, A. E. C., & Dekker, C. (2016) · Nature Communications · doi:10.1038/ncomms10447 · Cited by 363
A comprehensive review on recent preparation techniques of liposomes
Has, C., & Sunthar, P. (2020) · Journal of Liposome Research · doi:10.1080/08982104.2019.1668010 · Cited by 357
Maeki, M., Kimura, N., Sato, Y., Harashima, H., & Tokeshi, M. (2018) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.03.008 · Cited by 319
Controlled droplet microfluidic systems for multistep chemical and biological assays
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Metadata
- Authors
- van Swaay, D., & deMello, A.
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 13
- Issue
- 5
- Pages
- 752
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2013141559
- Cited by
- 379
- References
- 125
- FWCI
- 10.29
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
