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Leaf-inspired homeostatic cellulose biosensors.

Ji-Yong Kim1,2, Yong Ju Yun3, Joshua Jeong2

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We created a novel homeostatic cellulose biosensor inspired by leaf systems. This biosensor ensures stable skin-sensor interfaces for long-term electrophysiological monitoring, enhancing brain-computer interfaces.

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Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Wearable Technology

Background:

  • Existing biosensor interfaces struggle with long-term skin homeostasis, limiting electrophysiological signal measurement.
  • The natural leaf homeostasis system offers a model for stable biological interfaces.

Purpose of the Study:

  • To develop the first homeostatic cellulose biosensor mimicking leaf systems for enhanced skin-sensor interface stability.
  • To investigate the homeostatic properties of mesoporous cellulose membranes in saline solutions.
  • To demonstrate the biosensor's utility in continuous electrophysiological monitoring and brain-computer interfacing.

Main Methods:

  • Development of a homeostatic cellulose biosensor inspired by leaf homeostasis.
  • Modification of a mesoporous cellulose membrane to achieve homeostatic properties in saline solution.
  • Testing the biosensor's stability and performance under various physiological and environmental stresses.
  • Showcasing application in brain-computer interfacing with machine learning integration.

Main Results:

  • The homeostatic cellulose biosensor exhibits protection, sensation, self-regulation, and biosafety.
  • Swollen mesoporous cellulose membranes display high ion conductivity, flexibility, stability, adhesion, and self-healing.
  • The biosensor maintains a stable skin-sensor interface despite dynamic environments, sweat, hair, and detachment.
  • Continuous, stable electrophysiological signal measurement was achieved, enabling real-time brain-computer interface applications.

Conclusions:

  • The developed homeostatic cellulose biosensor overcomes limitations of current interfaces for long-term electrophysiological monitoring.
  • This novel material demonstrates significant potential for advanced wearable biosensing and brain-computer interfaces.
  • The biosensor offers unprecedented versatility for real-time applications outside laboratory settings.