Magneto- and photo-responsive hydrogels from the co-assembly of peptides, cyclodextrins, and superparamagnetic nanoparticles.


Journal

Faraday discussions
ISSN: 1364-5498
Titre abrégé: Faraday Discuss
Pays: England
ID NLM: 9212301

Informations de publication

Date de publication:
30 10 2019
Historique:
pubmed: 13 7 2019
medline: 27 5 2020
entrez: 13 7 2019
Statut: ppublish

Résumé

Dual response to external non-invasive stimuli, such as light and magnetic field, is a highly desirable property in soft nanomaterials with potential applications in soft robotics, tissue engineering, and life-like materials. Within this class of materials, hydrogels obtained from the self-assembly of low molecular weight gelators (LMWGs) are of special interest due to their ease of preparation and modification. Herein, we report a modular co-assembly strategy for a magneto- and photo-responsive supramolecular hydrogel based on the arylazopyrazole (AAP) modified pentapeptide gelator Nap-GFFYS, and β-cyclodextrin vesicles (CDVs) with superparamagnetic cobalt ferrite nanoparticles embedded in their membranes. Upon application of a magnetic field, a reversible increase in the storage modulus is observed during rheological measurements. Additionally, a gel rod could be manipulated with a weak permanent magnet, resulting in macroscopic bending of the rod. Furthermore, through irradiation with UV and visible light, respectively, the host-guest interaction between the AAP moiety and the hydrophobic cavity of the β-CD can be deactivated on demand, thus lowering the stiffness of the hydrogel reversibly.

Identifiants

pubmed: 31297494
doi: 10.1039/c9fd00012g
doi:

Substances chimiques

Biocompatible Materials 0
Cyclodextrins 0
Delayed-Action Preparations 0
Hydrogels 0
Magnetite Nanoparticles 0
Oligopeptides 0
Pyrazoles 0
pyrazole 3QD5KJZ7ZJ

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

220-228

Auteurs

Benedikt P Nowak (BP)

Center for Soft Nanoscience and Organic Chemistry Institute, Westfälische Wilhelms Universität Münster, Busso Peus Straße 10, 48149 Münster, Germany. b.j.ravoo@uni-muenster.de.

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Classifications MeSH