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Cited by 531

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Polymer Particles with Various Shapes and Morphologies Produced in Continuous Microfluidic Reactors

Nie, Zhihong, Xu, Shengqing, Seo, Minseok, Lewis, Patrick C., Kumacheva, Eugenia·2005·Journal of the American Chemical Society

Abstract

We report a novel approach to continuous and scalable production of core-shell droplets and polymer capsules in microfluidic devices. The described method is also useful in the synthesis of polymer particles with nonspherical shapes. We used capillary instability-driven break-up of a liquid jet formed by two immiscible fluids. Precise control of emulsification of each liquid allowed for the production of highly monodisperse core-shell droplets with a predetermined diameter of cores and thickness of shells. We also achieved control over the number of cores per droplet and the location of cores in the droplet. We carried out fast throughput photopolymerization of the monomeric shells and obtained polymer particles with various shapes and morphologies, including spheres, truncated spheres and, hemispheres, and single and multicore capsules.

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Metadata

Authors
Nie, Z., Xu, S., Seo, M., Lewis, P. C., & Kumacheva, E.
Venue
Journal of the American Chemical Society
Published
2005-05-11
Volume
127
Issue
22
Pages
8058-8063
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2024595650
Cited by
531
References
0
FWCI
19.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Polymer Particles with Various Shapes and Morphologies Produced in Continuous Microfluidic Reactors. https://app.cochat.ai/papers/10.1021/ja042494w
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Nie, Z., Xu, S., Seo, M., Lewis, P. C., & Kumacheva, E. (2005). Polymer Particles with Various Shapes and Morphologies Produced in Continuous Microfluidic Reactors. Journal of the American Chemical Society. https://doi.org/10.1021/ja042494w

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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.