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<p>This work thoroughly examines the performance evaluation of electrolyte-gated organic field-effect transistors (EGOFETs) for biosensing applications, focusing on materials and parameter optimization. It analyzes the effects of four organic semiconductor (OSC) materials (P3HT, PBTTT-C16, PEDOT, polyfluorene) and four electrolyte materials (PVDF, PVA, PSSH, PEO) using simulation software. The study finds that the combination of PSSH as the electrolyte and PBTTT-C16 as the OSC exhibits promising performance, with large drain currents, enhanced thermal stability, and a maximum transconductance of 2.25&#xa0;mS. Key parameters such as electrolyte thickness (6–12&#xa0;µm), electrolyte concentration (100–10<sup>−4</sup>&#xa0;mol/m<sup>3</sup>), temperature (293–320&#xa0;K), and OSC hole concentration (10<sup>–3</sup>–10<sup>–7</sup>&#xa0;mol/m<sup>3</sup>) are optimized. This research lays the groundwork for developing highly sensitive and reliable EGOFET-based biosensing platforms for healthcare and environmental monitoring.</p>

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Optimizing performance of electrolyte-gated organic field-effect transistors for biosensing: material variations and parameter analysis

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月1日

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  • Bheem Singh,
  • Ram Awadh Mishra,
  • Deepak Punetha

摘要

This work thoroughly examines the performance evaluation of electrolyte-gated organic field-effect transistors (EGOFETs) for biosensing applications, focusing on materials and parameter optimization. It analyzes the effects of four organic semiconductor (OSC) materials (P3HT, PBTTT-C16, PEDOT, polyfluorene) and four electrolyte materials (PVDF, PVA, PSSH, PEO) using simulation software. The study finds that the combination of PSSH as the electrolyte and PBTTT-C16 as the OSC exhibits promising performance, with large drain currents, enhanced thermal stability, and a maximum transconductance of 2.25 mS. Key parameters such as electrolyte thickness (6–12 µm), electrolyte concentration (100–10−4 mol/m3), temperature (293–320 K), and OSC hole concentration (10–3–10–7 mol/m3) are optimized. This research lays the groundwork for developing highly sensitive and reliable EGOFET-based biosensing platforms for healthcare and environmental monitoring.