Abstract
Electrolyte-gated organic transistors (EGOTs) leveraging organic semiconductors' electronic and ionic transport characteristics are the key enablers for many biosensing and bioelectronic applications that can selectively sense, record, and monitor different biological and biochemical processes at the nanoscale and translate them into macroscopic electrical signals. Understanding such transduction mechanisms requires multiscale characterization tools to comprehensively probe local electrical properties and link them with device behavior across various bias points. Here, an automated scanning dielectric microscopy toolbox is demonstrated that performs operando in-liquid scanning dielectric microscopy measurements on functional EGOTs and carries out extensive data analysis to unravel the evolution of local electrical properties in minute detail. This paper emphasizes critical experimental considerations permitting standardized, accurate, and reproducible data acquisition. The developed approach is validated with EGOTs based on blends of organic small molecule semiconductor and insulating polymer that work as accumulation-mode field-effect transistors. Furthermore, the degradation of local electrical characteristics at high gate voltages is probed, which is apparently driven by the destruction of local crystalline order due to undesirable electrochemical swelling of the organic semiconducting material near the source electrode edge. The developed approach paves the way for systematic probing of EGOT-based technologies for targeted optimization and fundamental understanding.
Original language | English |
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Article number | 2400222 |
Journal | Advanced Electronic Materials |
Volume | 10 |
Issue number | 11 |
DOIs | |
State | Published - Nov 2024 |
Externally published | Yes |
Funding
This work received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sk\u0142odowska-Curie grant agreement No 813863 (BORGES), the EIC Pathfinder PRINGLE project (grant agreement No 101046719), from the Spanish Ministerio de Econom\u0131a, Industria y Competitividad, and EU FEDER, through grant no. PID2019-110210GB-I00 (BIGDATASPM), from the Ministerio de Ciencia e Innovacion through grant no. PID2022-142297NB-I00 (BIOMEDSPM40), from the Generalitat de Catalunya through CERCA, and from the ICREA foundation (ICREA Academia award to G.G.). S.T. acknowledges the support from Joerg Barner (JPK) regarding automating the AFM operations. S.R.-M. and M.M.-T. acknowledge MCIN/AEI/10.13039/501100011033/ERDF,UE with project SENSATION PID2022-141393OB-I00, the \u201CSevero Ochoa\u201D Programme for Centers of Excellence in R&D (FUNFUTURECEX2019-000917-S) and Generalitat de Catalunya (2021-SGR-00443). This work received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sk\u0142odowska\u2010Curie grant agreement No 813863 (BORGES), the EIC Pathfinder PRINGLE project (grant agreement No 101046719), from the Spanish Ministerio de Econom\u0131a, Industria y Competitividad, and EU FEDER, through grant no. PID2019\u2010110210GB\u2010I00 (BIGDATASPM), from the Ministerio de Ciencia e Innovacion through grant no. PID2022\u2010142297NB\u2010I00 (BIOMEDSPM40), from the Generalitat de Catalunya through CERCA, and from the ICREA foundation (ICREA Academia award to G.G.). S.T. acknowledges the support from Joerg Barner (JPK) regarding automating the AFM operations. S.R.\u2010M. and M.M.\u2010T. acknowledge MCIN/AEI/10.13039/501100011033/ERDF,UE with project SENSATION PID2022\u2010141393OB\u2010I00, the \u201CSevero Ochoa\u201D Programme for Centers of Excellence in R&D (FUNFUTURECEX2019\u2010000917\u2010S) and Generalitat de Catalunya (2021\u2010SGR\u201000443).
Funders | Funder number |
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H2020 Marie Skłodowska-Curie Actions | |
ICREA Foundation | |
Generalitat de Catalunya | |
Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España | |
European Regional Development Fund | PID2019‐110210GB‐I00 |
Horizon 2020 | 813863, 101046719 |
Ministerio de Ciencia e Innovación | PID2022‐142297NB‐I00, BIOMEDSPM40 |
Institució Catalana de Recerca i Estudis Avançats | SENSATION PID2022-141393OB-I00, FUNFUTURECEX2019-000917-S, 2021-SGR-00443 |
Keywords
- automation
- electrolyte-gated organic transistors
- nanoscale
- operando scanning dielectric microscopy
- transistor degradation