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Cited by 232

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Controllable microfluidic production of multicomponent multiple emulsions

Wang, Wei, Xie, Rui, Ju, Xiao-Jie, Luo, Tao, Liu, Li, Weitz, David A., Chu, Liang-Yin·2011·Lab on a Chip

Abstract

A hierarchical and scalable microfluidic device constructed from a combination of three building blocks enables highly controlled generation of multicomponent multiple emulsions. The number, ratio and size of droplets, each with distinct contents being independently co-encapsulated in the same level, can be precisely controlled. The building blocks are a drop maker, a connector and a liquid extractor; combinations of these enable the scale-up of the device to create higher-order multicomponent multiple emulsions with exceptionally diverse structures. These multicomponent multiple emulsions offer a versatile and promising platform for precise encapsulation of incompatible actives or chemicals, for synergistic delivery and biochemical and chemical reactions, and for engineering multicompartment materials with controlled internal phases.

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Crossref · 10.1039/c1lc20065h

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Metadata

Authors
Wang, W., Xie, R., Ju, X.-J., Luo, T., Liu, L., Weitz, D. A., & Chu, L.-Y.
Venue
Lab on a Chip
Published
2011
Volume
11
Issue
9
Pages
1587
ISSN
  • 1473-0189 (ISSN-L)
  • 1473-0197
OpenAlex
W2142301944
Cited by
232
References
1
FWCI
12.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Controllable microfluidic production of multicomponent multiple emulsions. https://app.cochat.ai/papers/10.1039/c1lc20065h
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Wang, W., Xie, R., Ju, X.-J., Luo, T., Liu, L., Weitz, D. A., & Chu, L.-Y. (2011). Controllable microfluidic production of multicomponent multiple emulsions. Lab on a Chip. https://doi.org/10.1039/c1lc20065h

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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.