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Projekt Druckansicht

Terahertz Self-Mixing Reflektions-Interferometrie und Untersuchungen zur Adsorption/Desorption an Graphen-Oberflächen

Fachliche Zuordnung Physikalische Chemie von Festkörpern und Oberflächen, Materialcharakterisierung
Optik, Quantenoptik und Physik der Atome, Moleküle und Plasmen
Physikalische Chemie von Molekülen, Flüssigkeiten und Grenzflächen, Biophysikalische Chemie
Förderung Förderung von 2018 bis 2023
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 409301819
 
Erstellungsjahr 2023

Zusammenfassung der Projektergebnisse

The adsorption/desorption kinetics of N2O, CO and CH4 on graphene have been investigated by temperature programmed desorption with two different methods: time-resolved MIR reflectionabsorption spectroscopy and the electrical characterization of a graphene field effect transistor (gFET). To this end, a vacuum-tight measurement chamber has been constructed featuring a BaF2 IR- transparent window, gas flow lines, a 4-lane vacuum tight electrical feedthrough, 2 thermocouples and a heating element (up to 500 0C with 0.1 K increment). Graphene on SiO2/p-doped Si (or a gFET device) is placed on the heating element and serves as substrate to which the gas molecules N2O, CO and CH4 are adsorbed on/desorbed from. The custom-made measurement chamber is placed into a Bruker Vertex 80 V FTIR spectrometer. The set-up enabled precise optical and electrical Temperature Programmed Adsorption/Desorption studies. The experiments, carried out in-situ at elevated temperatures (145 < T < 300 0C) in a time range of 0 to 600 s, allow to determine the adsorption/desorption rate constants k and activation energies Ea of said gases on graphene, uninfluenced by H2O as omnipresent concurrent adsorbate. Both methods provide similar kinetic data for N2O and CO. In case of non-polar CH4 the gFET experiment, however, fails and reliable kinetic data is only gained by the optical approach. The desorption rate constants kdes of 108 to 109 molecules cm-2s-1 for the 3 gases are 1-2 orders of magnitude lower than that of adsorption, in line with the general observation of fast adsorption but slow desorption in graphene gas sensors. Adsorption activation energies -19.6(N2O), -12.1 (CO) and -9.5 (CH4) kJ/Mol and desorption activation energies of 42.2 (N2O), 27.2 (CO) and 16.3 (CH4) kJ/Mol, both derived from ln k vs T^-1 plots, suggest weak interaction between the adsorbates and graphene by intermolecular forces. Concerning electrical results, mainly the concentration of charge carriers changes with adsorption/desorption. The field effect mobility µ^e- of the gFET is unchanged (or changed only minorly) during desorption/reversal of charge transfer. The drain-source current Ids of the gFET shows a maximum in case of almost complete desorption and low graphene charge carrier concentrations as one approaches the graphene state specified by the Dirac potential VD of 0 V. It can be explained by the reduction/loss of scattering of the graphene conduction electrons in the graphene/adsorbate interface, thereby providing an experimental proof of the importance of charged impurity scattering suggested in the literature by theoretical work. Time-resolved MIR spectroscopy and in-situ electrical measurements on a graphene-FET substrate have been demonstrated for the first time as an alternative to semiconductor or mass spectrometerbased approaches of surface kinetics analysis. Adsorption/Desorption kinetics of N2O, CO and CH4 on graphene are experimentally investigated for the first time by in-situ optical and electrical temperature-programmed measurements. No experimental literature values exist for N2O on graphene for comparison with our work. The in-situ optical and electrical techniques may be extended to other environmentally hazardous or commercially relevant gases as well as other 2D materials in order to get a more comprehensive view on the kinetic properties of 2D material/gas interfaces. Concerning possible applications, we would like to mention highly selective optical gas sensors and lab-on-chip sensors based on graphene.

Projektbezogene Publikationen (Auswahl)

 
 

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