Patterned Amyloid Materials Integrating Robustness and Genetically Programmable Functionality

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

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Author(s)

  • Yingfeng Li
  • Ke Li
  • Xinyu Wang
  • Bolin An
  • Mengkui Cui
  • Jiahua Pu
  • Shicao Wei
  • Shuai Xue
  • Haifeng Ye
  • Chao Zhong

Detail(s)

Original languageEnglish
Number of pages10
Journal / PublicationNano Letters
Online published6 Sep 2019
Publication statusOnline published - 6 Sep 2019

Abstract

The precise manipulation, localization, and assembly of biological and bioinspired molecules into organized structures have greatly promoted material science and bionanotechnology. Further technological innovation calls for new patternable soft materials with the long-sought qualities of environmental tolerance and functional flexibility. Here, we report a patterned amyloid material (PAM) platform for producing hierarchically ordered structures that integrate these material attributes. This platform, combining soft lithography with generic amyloid monomer inks (consisting of genetically engineered biofilm proteins dissolved in hexafluoroisopropanol), along with methanol-assisted curing, enables the spatially controlled deposition and in situ reassembly of amyloid monomers. The resulting patterned structures exhibit spectacular chemical and thermal stability and mechanical robustness under harsh conditions. The PAMs can be programmed for a vast array of multilevel functionalities, including anchoring nanoparticles, enabling diverse fluorescent protein arrays, and serving as self-supporting porous sheets for cellular growth. This PAM platform will not only drive innovation in biomanufacturing but also broaden the applications of patterned soft architectures in optics, electronics, biocatalysis, analytical regents, cell engineering, medicine, and other areas.

Research Area(s)

  • Biofilm, genetic engineering, patterning, soft lithography

Citation Format(s)

Patterned Amyloid Materials Integrating Robustness and Genetically Programmable Functionality. / Li, Yingfeng; Li, Ke; Wang, Xinyu; An, Bolin; Cui, Mengkui; Pu, Jiahua; Wei, Shicao; Xue, Shuai; Ye, Haifeng; Zhao, Yanhua; Liu, Minjie; Wang, Zuankai; Zhong, Chao.

In: Nano Letters, 06.09.2019.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review