Biological Complexity-Inspired Engineering of Tough and Anisotropic Protein-Based Materials for Adaptive Sensing

Biological systems inspire the design of high-performance biomimetic materials, yet replicating their synergistic interactions and hierarchical structures remains challenging. Here, we present an orthogonal photochemistry-mediated strategy for one-step fabrication of muscle-inspired protein materials. This approach integrates covalent, electrostatic, and hydrogen-bonding interactions to form robust multinetwork architectures within hierarchically organized protein matrices. Prestretching enhances molecular alignment, yielding anisotropic materials with a factor of 3.0, tensile strengths up to 300 MPa, toughness over 22 MJ m<sup>-3</sup>, and a fatigue threshold of 760 J m<sup>-2</sup>─surpassing natural proteins such as wool, cotton, and silk. The rapid (∼20 s), precisely controllable process supports scalable 3D manufacturing of continuous fibers exceeding 10 m. Beyond mechanical robustness, the materials dynamically respond to force, humidity, and pH, mimicking biological tissues. As a proof of concept, the fibers function as artificial muscles and flexible capacitive sensors, highlighting their potential for advanced applications in biomaterials, bioengineering, and soft electronics.

Authors

Institutions

Publication Details

Journal
Nano Letters
Published
2025-12-20
DOI
https://doi.org/10.1021/acs.nanolett.5c04826
Primary Topic
Silk-based biomaterials and applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Biological Complexity-Inspired Engineering of Tough and Anisotropic Protein-Based Materials for Adaptive Sensing

Hao Lü, You Yu, Honggang Hu, Zhenhao Zhu et al.
Nano Letters
Silk-based biomaterials and applications
article

Biological Complexity-Inspired Engineering of Tough and Anisotropic Protein-Based Materials for Adaptive Sensing

Hao Lü, You Yu, Honggang Hu, Zhenhao Zhu, Zhe Lu, Yaolong Zhi
article en

Abstract

Biological systems inspire the design of high-performance biomimetic materials, yet replicating their synergistic interactions and hierarchical structures remains challenging. Here, we present an orthogonal photochemistry-mediated strategy for one-step fabrication of muscle-inspired protein materials. This approach integrates covalent, electrostatic, and hydrogen-bonding interactions to form robust multinetwork architectures within hierarchically organized protein matrices. Prestretching enhances molecular alignment, yielding anisotropic materials with a factor of 3.0, tensile strengths up to 300 MPa, toughness over 22 MJ m<sup>-3</sup>, and a fatigue threshold of 760 J m<sup>-2</sup>─surpassing natural proteins such as wool, cotton, and silk. The rapid (∼20 s), precisely controllable process supports scalable 3D manufacturing of continuous fibers exceeding 10 m. Beyond mechanical robustness, the materials dynamically respond to force, humidity, and pH, mimicking biological tissues. As a proof of concept, the fibers function as artificial muscles and flexible capacitive sensors, highlighting their potential for advanced applications in biomaterials, bioengineering, and soft electronics.

Nano LettersVol. 26(1)
Shanghai University (CN), Ministry of Education of the People's Republic of China (CN), Institute of Microelectronics (CN)
Openalex Percentile: Top 71%
Silk-based biomaterials and applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Biological Complexity-Inspired Engineering of Tough and Anisotropic Protein-Based Materials for Adaptive Sensing — Hao Lü, You Yu, et al. · Nano Letters (2025) | TGRS Research Map | TGRS