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A Protein-Based Free-Standing Proton-Conducting Transparent Elastomer for Large-Scale Sensing Applications
Ramesh Nandi1, Yuval Agam1, Nadav Amdursky1
1Schulich Faculty of Chemistry, Technion - Israel Institute of Technology, Haifa, 3200003, Israel.
Advanced Materials (Deerfield Beach, Fla.)
|July 5, 2021
Summary
Researchers developed a sustainable, transparent, and elastic conductive polymer using affordable natural proteins. This eco-friendly material offers performance comparable to synthetic polymers and shows promise for biomedical applications.
Area of Science:
- Materials Science
- Biomaterials Engineering
- Polymer Chemistry
Background:
- The demand for sustainable and environmentally friendly materials is increasing in modern research.
- Natural resources offer potential for creating eco-friendly materials, but often lack the performance of synthetic counterparts.
- Conductive polymers typically rely on synthetic materials, posing environmental challenges.
Purpose of the Study:
- To develop a high-performance, sustainable conductive polymer using natural resources.
- To explore the use of proteins as building blocks for advanced functional materials.
- To demonstrate a cost-effective and energy-efficient polymerization process.
Main Methods:
- Utilized bovine serum albumin (BSA), an affordable natural protein, as a primary component.
- Employed natural protein crosslinkers for spontaneous and energy-efficient polymerization.
- Fabricated a free-standing, transparent, and highly elastic polymer film.
Main Results:
- Achieved proton conductivity comparable to synthetic conductive polymers.
- Demonstrated a scalable and low-cost material production method.
- The resulting elastomer exhibits inherent biodegradability and biocompatibility.
Conclusions:
- Protein-inspired conductive polymers offer a sustainable alternative to synthetic materials.
- The developed material is suitable for large-scale production and biomedical applications.
- The material functions effectively as a solid-state interface for sensing electrophysiological signals.

