A Biopotentiostat-driven read-out system for transfer characteristic-based graphene FET sensing

Simple item page
dc.contributor.authorTripathy, Kamalesh
dc.contributor.authorDas, Shrestha
dc.contributor.authorSica, Marco
dc.contributor.authorHamidi, Hassan
dc.contributor.authorIacopino, Daniela
dc.contributor.authorO’Flynn, Brendan
dc.contributor.authorBhattacharjee, Mitradip
dc.contributor.funderHorizon Europe
dc.contributor.funderTaighde Éireann - Research Ireland
dc.contributor.funderEuropean Regional Development Fund
dc.date.accessioned2026-10-21T10:56:01Z
dc.date.available2026-10-21T10:56:01Z
dc.date.issued2026-10-19
dc.description.abstractGraphene field-effect transistor (Gr-FET) based sensors have emerged as highly promising platforms for biochemical sensing due to graphene’s exceptional electrical properties and high sensitivity. Most reported Gr-FET biosensors rely on monitoring the drain current at a fixed gate bias voltage to detect biomarkers. However, such single-point measurements are highly dependent on the chosen operating point and are susceptible to device-to-device variations, drift, and ionic screening in electrolyte environments, which often results in ambiguous sensing responses. A more robust approach is to measure the full transfer characteristics and track the shift in the charge neutrality point (CNP), which directly correlates with variations in surface charge distribution caused by biomolecular interactions. However, acquiring transfer characteristics typically requires bulky and expensive laboratory instrumentation, such as precision source-measure units (e.g., Keithley sourcemeters), and parametric analysers, limiting the practicality of such measurements for portable and real-time sensing applications. In this work, a dedicated electronic readout system based on a bio-potentiostat, referred to as the Custom Readout Module, was developed to measure the transfer characteristics of electrolyte-gated Gr-FET sensors to extract the CNP. System performance was validated against measurements obtained with Keithley 2450 source meters, thereby establishing the platform as a portable solution for extracting transfer characteristics for FET-based biosensing. To demonstrate biosensing capability, the graphene channel was functionalised with glucose oxidase, and glucose was detected in phosphate-buffered saline (PBS) via concentration-dependent CNP shifts. The developed platform provides a reliable solution for transfer-characteristic-based graphene FET biosensing, with potential for portable and real-time sensing applications.en
dc.description.sponsorshipHorizon Europe|INFRACHIP 101131822
dc.description.sponsorshipTaighde Éireann - Research Ireland|12/RC/ 2289-P2-INSIGHT
dc.description.sponsorshipTaighde Éireann - Research Ireland|13/RC/2077-2CONNECT
dc.description.sponsorshipTaighde Éireann - Research Ireland|21/RC/10303\_P2-VISTAMILK 2
dc.description.versionAccepted Version
dc.format.extent8
dc.format.mimetypeapplication/pdfen
dc.identifier.authororcidTripathy, Kamalesh
dc.identifier.authororcidDas, Shrestha
dc.identifier.authororcidSica, Marco
dc.identifier.authororcidHamidi, Hassan§0000-0002-7775-8536
dc.identifier.authororcidIacopino, Daniela§0000-0003-2301-9401
dc.identifier.authororcidO’Flynn, Brendan§0000-0002-5522-2597
dc.identifier.authororcidBhattacharjee, Mitradip
dc.identifier.citationTripathy, K, Das, S, Sica, M, Hamidi, H, Iacopino, D, O’Flynn, B & Bhattacharjee, M 2026, 'A Biopotentiostat-driven read-out system for transfer characteristic-based graphene FET sensing', IEEE Sensors Journal, pp. 1-8. https://doi.org/10.1109/JSEN.2026.3743185
dc.identifier.doi10.1109/JSEN.2026.3743185
dc.identifier.endpage8
dc.identifier.issn1530-437X
dc.identifier.journaltitleIEEE Sensors Journal
dc.identifier.otherBibtex: 11740794
dc.identifier.otherORCID: /0000-0003-2301-9401/work/230882216
dc.identifier.otherORCID: /0000-0002-7775-8536/work/230883311
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/10468/19474
dc.language.isound
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.rights© 2026, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.accessrightsopen access
dc.rights.licensenameAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.statusPeer reviewed
dc.subjectGraphene
dc.subjectImage sensors
dc.subjectMeasurement
dc.subjectGlucose
dc.subjectField effect transistors
dc.subjectVoltage
dc.subjectBiosensors
dc.subjectModules (abstract algebra)
dc.subjectCurrent
dc.subjectElectrodes
dc.subjectBiopotentiostat
dc.subjectCharge neutrality point (CNP)
dc.subjectCustom electronic readout system
dc.subjectElectrolyte-gated graphene FET
dc.subjectTransfer characteristics
dc.subject[TyndallMicroNano]
dc.titleA Biopotentiostat-driven read-out system for transfer characteristic-based graphene FET sensing
dc.typeArticle (peer-reviewed)
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
A_Biopotentiostat-driven_Read-out_System_for_Transfer_Characteristic-based_Graphene_FET_Sensing_1_.pdf
Size:
5.19 MB
Format:
Adobe Portable Document Format
Description:
Accepted Version
Download
Collections
Tyndall MicroNano Systems