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Sensing Molecules with Metal–Organic Framework Functionalized Graphene Transistors

Kumar, S. 1; Pramudya, Y. 1; Müller, K. 2; Chandresh, A. 2; Dehm, S. 1; Heidrich, S. 1; Fediai, A. 1; Parmar, D. 3; Perera, D.; Rommel, M. 1; Heinke, L. 2; Wenzel, W. 1; Wöll, C. 2; Krupke, R. 1,3
1 Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)
2 Institut für Funktionelle Grenzflächen (IFG), Karlsruher Institut für Technologie (KIT)
3 Institut für QuantenMaterialien und Technologien (IQMT), Karlsruher Institut für Technologie (KIT)


Graphene is inherently sensitive to vicinal dielectrics and local charge distributions, a property that can be probed by the position of the Dirac point in graphene field-effect transistors. Exploiting this as a useful sensing principle requires selectivity; however, graphene itself exhibits no molecule-specific interaction. Complementarily, metal–organic frameworks can be tailored to selective adsorption of specific molecular species. Here, a selective ethanol sensor is demonstrated by growing a surface-mounted metal–organic framework (SURMOF) directly onto graphene field-effect transistors (GFETs). Unprecedented shifts of the Dirac point, as large as 15 V, are observed when the SURMOF/GFET is exposed to ethanol, while a vanishingly small response is observed for isopropanol, methanol, and other constituents of the air, including water. The synthesis and conditioning of the hybrid materials sensor with its functional characteristics are described and a model is proposed to explain the origin, magnitude, and direction of the Dirac point voltage shift. Tailoring multiple SURMOFs to adsorb specific gases on an array of such devices thus generates a versatile, selective, and highly sensitive platform for sensing applications.

Verlagsausgabe §
DOI: 10.5445/IR/1000137589
Veröffentlicht am 29.09.2021
DOI: 10.1002/adma.202103316
Zitationen: 23
Web of Science
Zitationen: 24
Zitationen: 25
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Funktionelle Grenzflächen (IFG)
Institut für Nanotechnologie (INT)
Institut für QuantenMaterialien und Technologien (IQMT)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 28.10.2021
Sprache Englisch
Identifikator ISSN: 0935-9648, 1521-4095
KITopen-ID: 1000137589
HGF-Programm 43.31.02 (POF IV, LK 01) Devices and Applications
Weitere HGF-Programme 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
47.11.05 (POF IV, LK 01) Towards Quantum and Neuromorphic Computing Functionalities
Erschienen in Advanced Materials
Verlag John Wiley and Sons
Band 33
Heft 43
Seiten Art.Nr. 2103316
Vorab online veröffentlicht am 08.09.2021
Nachgewiesen in Dimensions
Web of Science
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