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Reconfigurable droplet networks.
Sun, Shuyi; Li, Shuailong; Feng, Weixiao; Luo, Jiaqiu; Russell, Thomas P; Shi, Shaowei.
Affiliation
  • Sun S; State Key Laboratory of Chemical Resource Engineering, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, 100029, Beijing, China.
  • Li S; State Key Laboratory of Chemical Resource Engineering, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, 100029, Beijing, China.
  • Feng W; State Key Laboratory of Chemical Resource Engineering, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, 100029, Beijing, China.
  • Luo J; State Key Laboratory of Chemical Resource Engineering, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, 100029, Beijing, China.
  • Russell TP; Department of Polymer Science and Engineering, University of Massachusetts, Amherst, MA, 01003, USA. russell@mail.pse.umass.edu.
  • Shi S; Materials Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, 94720, USA. russell@mail.pse.umass.edu.
Nat Commun ; 15(1): 1058, 2024 Feb 05.
Article in En | MEDLINE | ID: mdl-38316759
ABSTRACT
Droplet networks stabilized by lipid interfacial bilayers or colloidal particles have been extensively investigated in recent years and are of great interest for compartmentalized reactions and biological functions. However, current design strategies are disadvantaged by complex preparations and limited droplet size. Here, by using the assembly and jamming of cucurbit[8]uril surfactants at the oil-water interface, we show a novel means of preparing droplet networks that are multi-responsive, reconfigurable, and internally connected over macroscopic distances. Openings between the droplets enable the exchange of matter, affording a platform for chemical reactions and material synthesis. Our work requires only a manual compression to construct complex patterns of droplet networks, underscoring the simplicity of this strategy and the range of potential applications.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2024 Document type: Article Affiliation country: China Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2024 Document type: Article Affiliation country: China Country of publication: United kingdom