An Interlayer Strategy for Low-Voltage Thin-Film Organic Electrochemical Transistors.

Journal: Small methods
Published Date:

Abstract

Solid-state organic electrochemical transistors (SS-OECTs) are promising candidates for next-generation wearable and bioelectronic applications due to their high transconductance and low-voltage operation. However, conventional SS-OECTs rely on ion gels with high ionic liquid concentrations, which compromise mechanical robustness and scalability. This study addresses these limitations by developing thin-film OECTs (TF-OECTs) using solid electrolytes with significantly reduced ionic liquid concentrations and introducing a doped organic semiconductor film (DOSCF) as an interlayer between the gate and electrolyte. This strategy enables TF-OECTs to achieve film-like mechanical properties while maintaining high performance, including a maximum transconductance (g) of 5.05 mS, operational voltages below 1 V, and exceptional stability over 1000 switching cycles. The devices also exhibit superior flexibility, enduring over 2000 bending cycles with minimal performance degradation. Their potential is demonstrated in ferric ion sensing, achieving an ultralow detection limit of 15 nm with a high selectivity of 0.7 mA dec, and in neuromorphic computing, where they emulate synaptic behaviors and achieve a 96.7% image recognition accuracy after training with artificial neural networks (ANN). These results highlight the transformative potential of TF-OECTs for integration into advanced, multifunctional electronic systems, combining high performance, mechanical robustness, and scalability.

Authors

  • Xi Zeng
  • Chengyuan Peng
    National Key Laboratory of Power Semiconductor and Integration Technology, Engineering Research Center of Advanced Semiconductor Technology and Application of Ministry of Education, College of Semiconductors (College of Integrated Circuits), Hunan University, Changsha, 410082, China.
  • Wenpei Shi
    International Science and Technology Innovation Cooperation Base for Advanced Display Technologies of Hunan Province, School of Physics and Electronics, Hunan University, Changsha, 410082, China.
  • Shengjie Hu
    School of Food Science, Henan Institute of Science and Technology, Xinxiang, 453003 China.
  • Yushi Cao
    School of Biological Science and Medical Engineering, Beihang University, Xueyuan Street 37, Beijing, 100191, China.
  • Huan Wei
    Department of Neurology, The Affiliated Yan'an Hospital of Kunming Medical University, Kunming, People's Republic of China.
  • Ping-An Chen
    International Science and Technology Innovation Cooperation Base for Advanced Display Technologies of Hunan Province, School of Physics and Electronics, Hunan University, Changsha, 410082, China.
  • Jiangnan Xia
    International Science and Technology Innovation Cooperation Base for Advanced Display Technologies of Hunan Province, School of Physics and Electronics, Hunan University, Changsha, 410082, China.
  • Jiaqi Ding
    School of International Education, Beijing University of Chemical Technology, Beijing, China.
  • Yu Zhang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Zhenqi Gong
    National Key Laboratory of Power Semiconductor and Integration Technology, Engineering Research Center of Advanced Semiconductor Technology and Application of Ministry of Education, College of Semiconductors (College of Integrated Circuits), Hunan University, Changsha, 410082, China.
  • Huajie Chen
    School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
  • Naiyan Lu
    School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China.
  • Rong Li
    Department of Neurology, People's Hospital of Longhua, Shenzhen, China.
  • Yuanyuan Hu
    State Key Laboratory for Chemo/Biosensing and Chemometrics, School of Physics and Electronics, Hunan University, Changsha 410082, China.

Keywords

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