Abstract
Potential implementation of bio-gel Electrolyte Double Layer capacitors (bio-gel EDLCs) and electrolyte-gated FET biosensors, two commonly reported configurations of bio-electrolytic electronic devices, requires a robust analysis of their complex internal capacitive behavior. Presently there is neither enough of the parameter extraction literature, nor an effective simulation model to represent the transient behavior of these systems. Our work aims to supplement present transient thin film transistor modelling techniques with the reported parameter extraction method, to accurately model both bio-gel EDLC and the aqueous electrolyte gated FET devices. Our parameter extraction method was tested with capacitors analogous to polymer-electrolyte gated FETs, electrolyte gated Field effect transistor (EGOFET) and Organic Electrolyte Gated Field Effect Transistor (OEGFET) capacitance stacks. Our method predicts the input/output electrical behavior of bio-gel EDLC and EGOFET devices far more accurately than conventional DLC techniques, with less than 5% error. It is also more effective in capturing the characteristic aqueous electrolyte charging behavior and maximum charging capability which are unique to these systems, than the conventional DLC Zubieta and the Two branch models. We believe this significant improvement in device simulation is a pivotal step towards further integration and commercial implementation of organic bio-electrolyte devices. The effective reproduction of the transient response of the OEGFET equivalent system also predicts the transient capacitive effects observed in our previously reported label-free OEGFET biosensor devices. This is the first parameter extraction method specifically designed for electrical parameter-based modelling of organic bio-electrolytic capacitor devices.
Highlights
Conventional electronic devices rely on rare earth minerals, extreme processing, and harsh chemical agents; challenges which can be solved by organic material-based electronic devices
We report a novel parameter extraction method to reproduce the complex organic bio-electrolytic device behavior in integrated circuit systems, demonstrating that our proposed method accurately predicts the transient behavior of the three tested Electrolyte gated FETs (EGFETs) forms
Continuing with the Two-branch Double Layer Capacitors (DLCs) model is only feasible until this point, as it relies on conventional capacitor equations which we have demonstrated do not apply to the EGFET
Summary
Conventional electronic devices rely on rare earth minerals, extreme processing, and harsh chemical agents; challenges which can be solved by organic material-based electronic devices. Current research explores a host of organic devices tailored for unique applications replacing or complementing conventional devices [1,2]. There are exciting new technologies that incorporate organic electrolytes in their device architecture to leverage their unique chemical and electrical properties. Electrolyte gated FETs (EGFETs) are attractive for their high gate capacitance, fast switching speed, 3-D printability, and large area scalability. EGFETs are being explored for artificial synapses, wearable electronics, and for biomolecule quantification [3,4,5,6,7,8,9]. The EGOFET and Micromachines 2021, 12, 1569.
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