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Size control of shape switchable micronetworks by fast two-step microfluidic templating

  • Shape-memory polymer micronetworks (MN) are micrometer-sized objects that can switch their outer shape upon external command.This study aims to scale MN sizes to the low micrometer range at very narrow size distributions. In a two-step microfluidic strategy, the specific design of coaxial class capillary devices allowed stabilizing the thread of the dispersed phase to efficiently produce precursor particles in the tip-streaming regime at rates up to similar to 170 kHz and final sizes down to 4 mu m. In a subsequent melt-based microfluidic photocrosslinking of the methacrylate-functionalized oligo(epsilon-caprolactone) precursor material, MN could be produced without particle aggregation. A comprehensive analysis of MN properties illustrated successful crosslinking, semi-crystalline morphology, and a shape-switching functionality for all investigated MN sizes (4, 6, 9, 12, 22 mu m). Such functional micronetworks tailored to and below the dimension of cells can enable future applications in technology and medicine like controlling cellShape-memory polymer micronetworks (MN) are micrometer-sized objects that can switch their outer shape upon external command.This study aims to scale MN sizes to the low micrometer range at very narrow size distributions. In a two-step microfluidic strategy, the specific design of coaxial class capillary devices allowed stabilizing the thread of the dispersed phase to efficiently produce precursor particles in the tip-streaming regime at rates up to similar to 170 kHz and final sizes down to 4 mu m. In a subsequent melt-based microfluidic photocrosslinking of the methacrylate-functionalized oligo(epsilon-caprolactone) precursor material, MN could be produced without particle aggregation. A comprehensive analysis of MN properties illustrated successful crosslinking, semi-crystalline morphology, and a shape-switching functionality for all investigated MN sizes (4, 6, 9, 12, 22 mu m). Such functional micronetworks tailored to and below the dimension of cells can enable future applications in technology and medicine like controlling cell interaction.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Fabian FriessGND, Andreas LendleinORCiDGND, Christian WischkeORCiDGND
DOI:https://doi.org/10.1557/s43578-021-00295-2
ISSN:0884-2914
ISSN:2044-5326
Titel des übergeordneten Werks (Englisch):Journal of materials research
Verlag:Springer
Verlagsort:Berlin
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Erstveröffentlichung:17.08.2021
Erscheinungsjahr:2021
Datum der Freischaltung:27.11.2023
Band:36
Ausgabe:16
Seitenanzahl:10
Erste Seite:3248
Letzte Seite:3257
Fördernde Institution:Projekt DEAL
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Chemie
DDC-Klassifikation:5 Naturwissenschaften und Mathematik / 54 Chemie / 540 Chemie und zugeordnete Wissenschaften
Peer Review:Referiert
Lizenz (Deutsch):License LogoCC-BY - Namensnennung 4.0 International
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