Understanding and Mitigating Charge‐Trapping Induced Transfer Curve Drift in Electrolyte‐Gated Graphene Field‐Effect Transistors

Electrolyte-gated graphene field-effect transistors (EG-gFETs) have great potential for chemical and biosensing applications and are increasingly attractive platforms for synaptic or memristive elements in neuromorphic computing. However, EG-gFETs exhibit drift in their electrical response, a phenomenon that remains poorly understood. An in-depth understanding of EG-gFETs' responses is essential for fully exploiting their behavior in applications and to open a much-needed discussion and standardization of practices within the community. In this work, we show that drift is ubiquitous across all tested devices and experimental conditions, and present evidence indicating that it is driven by progressive charge trapping in the insulating layer beneath the graphene channel. We then discuss potential strategies to mitigate drift, including alternative interrogation schemes and fabrication processes. Additionally, we propose approaches to enhance signal readability and facilitate discrimination of the signal from noise and false-positive responses in biosensing applications.

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Publication Details

Journal
Small
Published
2026-10-16
DOI
https://doi.org/10.1002/smll.202514805
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Understanding and Mitigating Charge‐Trapping Induced Transfer Curve Drift in Electrolyte‐Gated Graphene Field‐Effect Transistors

Mohammadmahdi Faraji, Pedro Alpuim, João Mouro, Jérôme Borme et al.
Small
Graphene research and applications
article

Understanding and Mitigating Charge‐Trapping Induced Transfer Curve Drift in Electrolyte‐Gated Graphene Field‐Effect Transistors

Mohammadmahdi Faraji, Pedro Alpuim, João Mouro, Jérôme Borme, Rui Campos, Tiago Dias, Tiago Pereira
article en

Abstract

Electrolyte-gated graphene field-effect transistors (EG-gFETs) have great potential for chemical and biosensing applications and are increasingly attractive platforms for synaptic or memristive elements in neuromorphic computing. However, EG-gFETs exhibit drift in their electrical response, a phenomenon that remains poorly understood. An in-depth understanding of EG-gFETs' responses is essential for fully exploiting their behavior in applications and to open a much-needed discussion and standardization of practices within the community. In this work, we show that drift is ubiquitous across all tested devices and experimental conditions, and present evidence indicating that it is driven by progressive charge trapping in the insulating layer beneath the graphene channel. We then discuss potential strategies to mitigate drift, including alternative interrogation schemes and fabrication processes. Additionally, we propose approaches to enhance signal readability and facilitate discrimination of the signal from noise and false-positive responses in biosensing applications.

Small
International Iberian Nanotechnology Laboratory (PT), University of Minho (PT)
Openalex Percentile: Top 28%
Graphene research and applications
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