Abstract
For an in-depth characterization of catalytic materials and their properties, spectroscopic in-situ (operando) investigations are indispensable. With the rapid development of advanced commercial spectroscopic equipment, it is possible to combine complementary methods in a single system. This allows for simultaneously gaining insights into surface and bulk properties of functional oxides, such as defect chemistry, catalytic characteristics, electronic structure, etc., enabling a direct correlation of structure and reactivity of catalyst materials, thus facilitating effective catalyst development. Here, we present a novel sample-stage, which was specifically developed to pave the way to a lab–based combination of near ambient pressure X-ray photoelectron spectroscopy and electrochemical impedance spectroscopy with simultaneous catalytic operando measurements. This setup is designed to probe different (model) systems under conditions close to real heterogeneous catalysis, with a focus on solid oxide electrochemical cells. In a proof of concept experiment using an electrochemical model cell with the doped perovskite Nd0.6 Ca0.4 Fe0.9 Co0.1 O3-δ as working electrode, the precise control of the surface chemistry that is possible with this setup is demonstrated. The exsolution behavior of the material was studied, showing that at a lower temperature (500◦ C) with lower reducing potential of the gas phase, only cobalt was exsolved, forming metallic particles on the surface of the perovskite-type oxide. Only when the temperature was increased to 600◦ C and a cathodic potential was applied (−250 mV) Fe also started to be released from the perovskite lattice.
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 947 |
| Seitenumfang | 16 |
| Fachzeitschrift | Crystals |
| Jahrgang | 10.2020 |
| Ausgabenummer | 10 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 17 Okt. 2020 |
| Extern publiziert | Ja |
Bibliographische Notiz
Funding Information:Acknowledgments: This research was funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme, grant agreement No. 755744/ERC—Starting Grant TUCAS. We want to thank Johannes Frank for support during the construction of the sample stage.
Funding Information:
Funding: This research was funded by the European Research Council (ERC) under the European Union′s Horizon 2020 research and innovation programme, grant agreement No. 755744/ERC—Starting Grant TUCAS.
Funding Information:
This research was funded by the European Research Council (ERC) under the European Union? s Horizon 2020 research and innovation programme, grant agreement No. 755744/ERC?Starting Grant TUCAS. This research was funded by the European Research Council (ERC) under the European Union?s Horizon 2020 research and innovation programme, grant agreement No. 755744/ERC?Starting Grant TUCAS. We want to thank Johannes Frank for support during the construction of the sample stage.
Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
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