Login / Signup

Photosynthetic Bioelectronic Sensors for Touch Perception, UV-Detection, and Nanopower Generation: Toward Self-Powered E-Skins.

Sai Kishore RaviTingfeng WuVishnu Saran UdayagiriXuan Minh VuYanan WangMichael R JonesSwee Ching Tan
Published in: Advanced materials (Deerfield Beach, Fla.) (2018)
Energy self-sufficiency is an inspirational design feature of biological systems that fulfills sensory functions. Plants such as the "touch-me-not" and "Venus flytrap" not only sustain life by photosynthesis, but also execute specialized sensory responses to touch. Photosynthesis enables these organisms to sustainably harvest and expend energy, powering their sensory abilities. Photosynthesis therefore provides a promising model for self-powered sensory devices like electronic skins (e-skins). While the natural sensory abilities of human skin have been emulated in man-made materials for advanced prosthetics and soft-robotics, no previous e-skin has incorporated phototransduction and photosensory functions that could extend the sensory abilities of human skin. A proof-of-concept bioelectronic device integrated with natural photosynthetic pigment-proteins is presented that shows the ability to sense not only touch stimuli (down to 3000 Pa), but also low-intensity ultraviolet radiation (down to 0.01 mW cm-2 ) and generate an electrical power of ≈260 nW cm-2 . The scalability of this device is demonstrated through the fabrication of flexible, multipixel, bioelectronic sensors capable of touch registration and tracking. The polysensory abilities, energy self-sufficiency, and additional nanopower generation exhibited by this bioelectronic system make it particularly promising for applications like smart e-skins and wearable sensors, where the photogenerated power can enable remote data transmission.
Keyphrases
  • machine learning
  • radiation therapy
  • electronic health record
  • wound healing
  • big data
  • multidrug resistant
  • gram negative
  • artificial intelligence
  • tissue engineering
  • radiation induced
  • data analysis
  • label free