Variable Range Hopping Transport Probed by DNA Sensing in Vertical Graphene and Nanocrystalline Graphite BioFETs

Biosensing performance in graphene-derived field-effect transistors (BioFETs) is widely attributed to surface chemistry, yet the role of the underlying charge transport mechanism remains poorly understood. This work establishes a direct correlation between disorder-driven transport and biosensing transduction in vertical graphene (VG) and nanocrystalline graphite (NCG) FET devices. Temperature-dependent electrical characterization (15–500 K) reveals a hybrid transport regime: three-dimensional Mott variable-range hopping below 240 K, transitioning to thermally activated Arrhenius-type conduction above 240 K. The extracted VRH parameters characteristic temperature T0, localization length ξ, and density of states N(EF) quantify fundamentally distinct disorder landscapes: VG operates in a strongly localized, edge-dominated regime, while NCG forms a continuous percolative network with greater transport stability. Surface functionalization via PASE and amine-terminated ssDNA probes, followed by DNA hybridization across four nucleobase systems, demonstrates that the sequence-dependent electrical response is mechanistically interpretable within the VRH–transconductance framework. NCG transduces biomolecular binding through direct charge transfer and hopping pathway perturbation, whereas VG responds through interfacial electrostatic reorganization. These results introduce a unified VRH–transconductance–sensing framework, providing a rational physical basis for next-generation graphene BioFET design.

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Publication Details

Journal
Micromachines
Published
2026-06-18
DOI
https://doi.org/10.3390/mi17060737
Primary Topic
Graphene research and applications
Type
article
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article

Variable Range Hopping Transport Probed by DNA Sensing in Vertical Graphene and Nanocrystalline Graphite BioFETs

Andrei Avram, Eugen Chiriac, Cătălin Mărculescu, Marioara Avram et al.
Micromachines
Graphene research and applications
article

Variable Range Hopping Transport Probed by DNA Sensing in Vertical Graphene and Nanocrystalline Graphite BioFETs

Andrei Avram, Eugen Chiriac, Cătălin Mărculescu, Marioara Avram, Bianca Adiaconita, Tiberiu Burinaru
article en

Abstract

Biosensing performance in graphene-derived field-effect transistors (BioFETs) is widely attributed to surface chemistry, yet the role of the underlying charge transport mechanism remains poorly understood. This work establishes a direct correlation between disorder-driven transport and biosensing transduction in vertical graphene (VG) and nanocrystalline graphite (NCG) FET devices. Temperature-dependent electrical characterization (15–500 K) reveals a hybrid transport regime: three-dimensional Mott variable-range hopping below 240 K, transitioning to thermally activated Arrhenius-type conduction above 240 K. The extracted VRH parameters characteristic temperature T0, localization length ξ, and density of states N(EF) quantify fundamentally distinct disorder landscapes: VG operates in a strongly localized, edge-dominated regime, while NCG forms a continuous percolative network with greater transport stability. Surface functionalization via PASE and amine-terminated ssDNA probes, followed by DNA hybridization across four nucleobase systems, demonstrates that the sequence-dependent electrical response is mechanistically interpretable within the VRH–transconductance framework. NCG transduces biomolecular binding through direct charge transfer and hopping pathway perturbation, whereas VG responds through interfacial electrostatic reorganization. These results introduce a unified VRH–transconductance–sensing framework, providing a rational physical basis for next-generation graphene BioFET design.

MicromachinesVol. 17(6)
National Institute for Research and Development in Microtechnologies (RO)
Openalex Percentile: Top 13%
Graphene research and applications
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Variable Range Hopping Transport Probed by DNA Sensing in Vertical Graphene and Nanocrystalline Graphite BioFETs — Andrei Avram, Eugen Chiriac, et al. · Micromachines (2026) | TGRS Research Map | TGRS