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Cited by 171

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Polymer Microcapsules with Programmable Active Release

Abbaspourrad, Alireza, Carroll, Nick J., Kim, Shin-Hyun, Weitz, David A.·2013·Journal of the American Chemical Society

Abstract

We present a new type of microcapsule programmed with a tunable active release mechanism. The capsules are triggered by a plasticizing stimulus that induces a phase change transition of the polymeric membrane from a solid to a fluidized form; thereafter, the cargo is actively driven out of the capsule through a defect at the capsule wall with controllable release kinetics. Tuning the degree of membrane fluidity by tailoring the amount of plasticizing stimulus present allows us to obtain temporal variation of the release kinetics from a subsecond abrupt burst release to a slow sustained release of encapsulant over many minutes. Moreover, we demonstrate tuning of the collective capsule triggering response by adjusting stimulus content, polymer molecular weight, and capsule membrane thickness. For this model system, we use a microfluidic approach to fabricate polystyrene capsules triggered by a toluene stimulus. However, this active release approach is general and is applicable to diverse polymeric capsule systems; this versatility is demonstrated by extension of our trigger-release scheme to capsules fabricated from a rubberlike block copolymer. The utility of our technique further enhances the potential of these active release capsules for practical application.

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Metadata

Authors
Abbaspourrad, A., Carroll, N. J., Kim, S.-H., & Weitz, D. A.
Venue
Journal of the American Chemical Society
Published
2013-05-08
Volume
135
Issue
20
Pages
7744-7750
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2142183534
Cited by
171
References
0
FWCI
27.39
Type
journal article
Language
en
Open access
closed

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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.