Liquid gated graphene field effect transistors for biomedical applications

Ηλιόπουλος, Γεώργιος; Iliopoulos, Georgios

dc.contributor.author	Ηλιόπουλος, Γεώργιος	el
dc.contributor.author	Iliopoulos, Georgios	en
dc.date.accessioned	2024-12-20T08:44:18Z
dc.date.available	2024-12-20T08:44:18Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/60580
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.28276
dc.rights	Default License
dc.subject	Graphene	en
dc.subject	GFET	en
dc.subject	Liquid gate	en
dc.subject	pH sensor	en
dc.subject	Ion sensitivity	en
dc.subject	Biosensor	en
dc.title	Liquid gated graphene field effect transistors for biomedical applications	en
heal.type	bachelorThesis
heal.classification	Μικροηλεκτρονική	el
heal.classification	Νανοτεχνολογία	el
heal.classification	Γραφένιο	el
heal.classification	Αισθητήρες	el
heal.language	el
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2024-03-29
heal.abstract	Graphene's exceptional properties, including strength, flexibility, and electrical conductivity, have propelled it to the forefront of materials science since its isolation in 2004. Graphene field effect transistors (GFETs), and particularly those utilizing liquid gating techniques (LG-GFETs), have emerged as superb tools in biosensing and neural interface technology. This thesis explores the potential of LG-GFET array chips, taking advantage of graphene's unique properties to enable sensitive, real-time detection of biological signals. Through electrical characterization and ion sensitivity experiments the foundation for the integration of LG-GFETs to be integrated into next-generation biosensors and neural signal processing devices has been laid. The presented findings not only deepen the understanding of LG-GFETs but also propel the usage of LG-GFETs in neural cells data acquisition.	en
heal.advisorName	Χριστοφόρου, Ευάγγελος	el
heal.committeeMemberName	Χουρδάκης, Εμμανουήλ	el
heal.committeeMemberName	Δημητράκης, Παναγιώτης	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών. Τομέας Επικοινωνιών, Ηλεκτρονικής και Συστημάτων Πληροφορικής	el
heal.academicPublisherID	ntua
heal.numberOfPages	116 σ.	el
heal.fullTextAvailability	false