Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/179274
Title: Self-assembly of peptide nanocapsules by a solvent concentration gradient
Authors: Li, Haopeng
Qian, Xuliang
Mohanram, Harini
Han, Xiao
Qi, Huitang
Zou, Guijin
Yuan, Fenghou
Miserez, Ali
Liu, Tian
Yang, Qing
Gao, Huajian
Yu, Jing
Keywords: Engineering
Issue Date: 2024
Source: Li, H., Qian, X., Mohanram, H., Han, X., Qi, H., Zou, G., Yuan, F., Miserez, A., Liu, T., Yang, Q., Gao, H. & Yu, J. (2024). Self-assembly of peptide nanocapsules by a solvent concentration gradient. Nature Nanotechnology, 19, 1141-1149. https://dx.doi.org/10.1038/s41565-024-01654-w
Project: MOE-T2EP30220-0006 
MOE 2019-T3-1-012 
MOE-MOET32022-0002 
NRFF11-2019-0004 
RG138/20 
RG135/22 
Journal: Nature Nanotechnology 
Abstract: Biological systems can create materials with intricate structures and specialized functions. In comparison, precise control of structures in human-made materials has been challenging. Here we report on insect cuticle peptides that spontaneously form nanocapsules through a single-step solvent exchange process, where the concentration gradient resulting from the mixing of water and acetone drives the localization and self-assembly of the peptides into hollow nanocapsules. The underlying driving force is found to be the intrinsic affinity of the peptides for a particular solvent concentration, while the diffusion of water and acetone creates a gradient interface that triggers peptide localization and self-assembly. This gradient-mediated self-assembly offers a transformative pathway towards simple generation of drug delivery systems based on peptide nanocapsules.
URI: https://hdl.handle.net/10356/179274
ISSN: 1748-3387
DOI: 10.1038/s41565-024-01654-w
Schools: School of Materials Science and Engineering 
School of Mechanical and Aerospace Engineering 
School of Biological Sciences 
Organisations: Institute of High Performance Computing, A*STAR 
Research Centres: Biological & Biomimetic Material Laboratory @ NTU 
Center for Sustainable Materials
Institute for Digital Molecular Analytics and Science
Rights: © 2024 The Author(s), under exclusive licence to Springer Nature Limited. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1038/s41565-024-01654-w.
Fulltext Permission: embargo_20250307
Fulltext Availability: With Fulltext
Appears in Collections:MSE Journal Articles

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