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A Silk Fibroin Bio-Transient Solution Processable Memristor.

Jason Yong1,2,3, Basem Hassan4,5,6, You Liang4,5,6

  • 1Centre for Neural Engineering, The University of Melbourne, Carlton, VIC 3053, Australia. jasony1@student.unimelb.edu.au.

Scientific Reports
|November 9, 2017
PubMed
Summary

This study introduces eco-friendly, biodegradable memristive devices using silk fibroin. These biocompatible electronics offer tunable lifetimes and minimal environmental impact, paving the way for sustainable applications.

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Area of Science:

  • Materials Science
  • Biotechnology
  • Electronics Engineering

Background:

  • Conventional electronics rely on toxic materials, restricting use in sensitive environments.
  • Current bio-integrated devices require complex encapsulation due to material incompatibility and toxicity.

Purpose of the Study:

  • To develop fully resorbable, high-density, biocompatible, and environmentally friendly memristive crossbar arrays.
  • To investigate the relationship between cation oxidation states, electrode materials, and conductive filament formation in silk fibroin.

Main Methods:

  • Fabrication of memristive crossbar arrays using solution-processable silk fibroin.
  • Characterization of resistive switching behavior, including switching ratio and device lifetime.
  • Cytotoxicity assessment using lactate dehydrogenase assays.
  • Investigation of conductive filament formation using various electrode materials and an electro-thermal model.

Main Results:

  • Achieved a high bipolar resistive switching ratio of 10^4.
  • Demonstrated programmable device lifetime with graceful biodegradation.
  • Lactate dehydrogenase assays confirmed no cytotoxicity.
  • Experimental data and electro-thermal model showed strong correlation in predicting memristive switching.

Conclusions:

  • Silk fibroin is a viable material for creating sustainable, biocompatible memristive devices.
  • The developed devices minimize environmental and biological impact.
  • Understanding conductive filament formation is key to optimizing memristor performance with different electrodes.