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High-sensitivity ion detection at low voltages with current-driven organic electrochemical transistors

Author

Listed:
  • Matteo Ghittorelli

    (University of Brescia
    Bruno Kessler Foundation, Centre for Materials and Microsystems)

  • Leona Lingstedt

    (Max Planck Institute for Polymer Research)

  • Paolo Romele

    (University of Brescia)

  • N. Irina Crăciun

    (Max Planck Institute for Polymer Research)

  • Zsolt Miklós Kovács-Vajna

    (University of Brescia)

  • Paul W. M. Blom

    (Max Planck Institute for Polymer Research)

  • Fabrizio Torricelli

    (University of Brescia)

Abstract

Ions dissolved in aqueous media play a fundamental role in plants, animals, and humans. Therefore, the in situ quantification of the ion concentration in aqueous media is gathering relevant interest in several fields including biomedical diagnostics, environmental monitoring, healthcare products, water and food test and control, agriculture industry and security. The fundamental limitation of the state-of-art transistor-based approaches is the intrinsic trade-off between sensitivity, ion concentration range and operating voltage. Here we show a current-driven configuration based on organic electrochemical transistors that overcomes this fundamental limit. The measured ion sensitivity exceeds by one order of magnitude the Nernst limit at an operating voltage of few hundred millivolts. The ion sensitivity normalized to the supply voltage is larger than 1200 mV V−1 dec−1, which is the largest value ever reported for ion-sensitive transistors. The proposed approach is general and can be extended to any transistor technology, thus opening opportunities for high-performance bioelectronics.

Suggested Citation

  • Matteo Ghittorelli & Leona Lingstedt & Paolo Romele & N. Irina Crăciun & Zsolt Miklós Kovács-Vajna & Paul W. M. Blom & Fabrizio Torricelli, 2018. "High-sensitivity ion detection at low voltages with current-driven organic electrochemical transistors," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03932-3
    DOI: 10.1038/s41467-018-03932-3
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    Cited by:

    1. Pietro Belleri & Judith Pons i Tarrés & Iain McCulloch & Paul W. M. Blom & Zsolt M. Kovács-Vajna & Paschalis Gkoupidenis & Fabrizio Torricelli, 2024. "Unravelling the operation of organic artificial neurons for neuromorphic bioelectronics," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

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