Proceedings of MATSUS Fall 2023 Conference (MATSUSFall23)
DOI: https://doi.org/10.29363/nanoge.matsus.2023.290
Publication date: 18th July 2023
Electrolyte-Gated Transistors (EGTs) have emerged as an integral part of numerous applications in biosensing and bioelectronics, owing to their remarkable ability to efficiently transduce biological events into amplified electronic signals while stably operating in aqueous electrolytes. EGT are three-terminal devices consisting of a semiconducting channel between source and drain electrodes capacitively coupled with the gate electrode through ions in the electrolyte. Understanding these devices at the nanoscale is paramount in order to leverage their respective, or combined, functionality for various applications. An optimized level of crystallinity or a balance between ionic and electronic conduction within the semiconductor might be desired, which directly relates to the physical and chemical nature of the semiconducting material and its response to applied electric fields. However, probing the nanoscale properties under operating conditions has been challenging due to the complications arising from the electrolyte environment. In this communication, I will review the progress made in our research group towards developing an advanced scanning probe microscopy technique able to probe different functional properties of the semiconductor materials (morphological, electrical and mechanical) at the nanoscale in operating electrolyte-gated transistors (EGTs). The technique is based on in-Liquid Scanning Dielectric Microscopy (in-Liquid SDM) to which we added automated functionalities and multiparametric characterization capabilities for comprehensive and simultaneous probing of the nanoscale electrical, mechanical and morphological properties in operating EGTs. Examples of applications to Electrolyte Gated Organic Field Effect Transistors (EGOFETs) [1] and Organic Electrochemical Transistors (OECTs) will be presented.
BORGES project, Marie Curie Skłodowska European Training Network (MSCA-ITN-ETN), Grant Agreement (GA 813863).
BIGDATASPM project, Project Reference (PID2019-110210GBI00).
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