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Cited by 2,690

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Droplet microfluidics

Teh, Shia-Yen, Lin, Robert, Hung, Lung-Hsin, Lee, Abraham P.·2008·Lab on a Chip

Abstract

Droplet-based microfluidic systems have been shown to be compatible with many chemical and biological reagents and capable of performing a variety of "digital fluidic" operations that can be rendered programmable and reconfigurable. This platform has dimensional scaling benefits that have enabled controlled and rapid mixing of fluids in the droplet reactors, resulting in decreased reaction times. This, coupled with the precise generation and repeatability of droplet operations, has made the droplet-based microfluidic system a potent high throughput platform for biomedical research and applications. In addition to being used as microreactors ranging from the nano- to femtoliter range; droplet-based systems have also been used to directly synthesize particles and encapsulate many biological entities for biomedicine and biotechnology applications. This review will focus on the various droplet operations, as well as the numerous applications of the system. Due to advantages unique to droplet-based systems, this technology has the potential to provide novel solutions to today's biomedical engineering challenges for advanced diagnostics and therapeutics.

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Crossref · 10.1039/b715524g

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Metadata

Authors
Teh, S.-Y., Lin, R., Hung, L.-H., & Lee, A. P.
Venue
Lab on a Chip
Published
2008
Volume
8
Issue
2
Pages
198
ISSN
  • 1473-0189 (ISSN-L)
  • 1473-0197
OpenAlex
W4210960748
Cited by
2,690
References
4
FWCI
89.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Droplet microfluidics. https://app.cochat.ai/papers/10.1039/b715524g
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Teh, S.-Y., Lin, R., Hung, L.-H., & Lee, A. P. (2008). Droplet microfluidics. Lab on a Chip. https://doi.org/10.1039/b715524g

Data sources

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.