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Thermally-controlled spherical peptide gel architectures prepared using the pH switch method
Date Issued
2022-03-23
Date Available
2024-01-09T17:15:21Z
Abstract
Self-assembling nanostructured peptide gels are promising materials for sensing, drug delivery, and energy harvesting. Of particular interest are short diphenylalanine (FF) peptides modified with 9-fluorenylmethyloxycarbonyl (Fmoc), which promotes the association of the peptide building blocks. Fmoc-FF gels generally form fibrous networks and while other structures have been demonstrated, further control of the gelation and resulting ordered three-dimensional structures potentially offers new possibilities in tissue engineering, sensing, and drug release applications. Herein, we report that the structure tunability of Fmoc-FF gels can be achieved by controlling the water content and the temperature. We further explore the incorporation of metal nanoparticles in the formation of the gel to enable optical sensing applications based on hybrid Fmoc-FF-nanoparticle microspheres. Finally, fluorescence lifetime imaging microscopy reveals a correlation between lifetime and reduced bandgap, in support of a semiconductor-induced charge transfer mechanism that might also increase the stability of an excited state of a probe molecule. The observations potentially further widen the use of these peptide materials in bioimaging and sensing applications.
Sponsorship
Science Foundation Ireland
European Commission Horizon 2020
Other Sponsorship
Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia
Ministry of Higher Education of Saudi Arabia under the King Abdullah Scholarship Program
Type of Material
Journal Article
Publisher
Wiley
Journal
Peptide Science
Volume
115
Issue
3
Start Page
1
End Page
13
Copyright (Published Version)
2023 The Authors
Language
English
Status of Item
Peer reviewed
ISSN
2475-8817
This item is made available under a Creative Commons License
File(s)
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Name
Peptide Science - 2023 - Almohammed.pdf
Size
5.46 MB
Format
Adobe PDF
Checksum (MD5)
0bf1129f925fd4e377160aeaea1ee588
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