Ultra-Sensitive Bio-Polymer Iontronic Sensors for Object Recognition from Tactile Feedback

Çiçek M. Ö., Durukan M. B., Yildiz B., Keskin D., Doğanay D., Çinar Aygün S., ...More

Advanced Materials Technologies, vol.8, no.16, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 8 Issue: 16
  • Publication Date: 2023
  • Doi Number: 10.1002/admt.202300322
  • Journal Name: Advanced Materials Technologies
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Applied Science & Technology Source, Compendex, INSPEC
  • Keywords: flexible electronics, human–machine interfaces, iontronic pressure sensors, machine learning, object sensing
  • Middle East Technical University Affiliated: Yes

Abstract

Supramolecular polymer gels show promise for use in batteries, supercapacitors, and multifunctional sensors. However, their poor stiffness and ionic conductivity hinder their large-scale utilization. Herein, a cellulose-based supramolecular bio-polymer gel (SBPG) with high ionic conductivity and exceptional stiffness is reported. These properties are translated into proof-of-concept iontronic pressure sensors with an ultra-high sensitivity of 1 475 000 kPa−1. The technological potential is demonstrated via fabrication of a prototype smart glove using only eight pressure sensors based on this novel gel. Smart glove sensors with 90% classification accuracy for object recognition are demonstrated using a tactile feedback algorithm.