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Cited by 654

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The Synthesis and Assembly of Polymeric Microparticles Using Microfluidics

Dendukuri, Dhananjay, Doyle, Patrick S.·2009·Advanced Materials

Abstract

The controlled synthesis of micrometer‐sized polymeric particles bearing features such as nonspherical shapes and spatially segregated chemical properties is becoming increasingly important. Such particles can enable fundamental studies on self‐assembly and suspension rheology, as well as be used in applications ranging from medical diagnostics to photonic devices. Microfluidics has recently emerged as a very promising route to the synthesis of such polymeric particles, providing fine control over particle shape, size, chemical anisotropy, porosity, and core/shell structure. This progress report summarizes microfluidic approaches to particle synthesis using both droplet‐ and flow‐lithography‐based methods, as well as particle assembly in microfluidic devices. The particles formed are classified according to their morphology, chemical anisotropy, and internal structure, and relevant examples are provided to illustrate each of these approaches. Emerging applications of the complex particles formed using these techniques and the outlook for such processes are discussed.

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Crossref · 10.1002/adma.200803386

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Metadata

Authors
Dendukuri, D., & Doyle, P. S.
Venue
Advanced Materials
Publisher
Wiley
Published
2009-10-26
Volume
21
Issue
41
Pages
4071-4086
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2111507591
Cited by
654
References
1
FWCI
21.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Synthesis and Assembly of Polymeric Microparticles Using Microfluidics. https://app.cochat.ai/papers/10.1002/adma.200803386
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Dendukuri, D., & Doyle, P. S. (2009). The Synthesis and Assembly of Polymeric Microparticles Using Microfluidics. Advanced Materials. https://doi.org/10.1002/adma.200803386

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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.