Self-Derived Metal/Oxide Interface Engineering via Active Nitrogen Mediation

Self-derived phase engineering of metal oxides offers a powerful route to create interfaces without introducing foreign metallic elements, yet achieving systematic control over phase transition remains challenging. Here, active nitrogen-mediated phase engineering was demonstrated across various metal oxides (SnO 2 , ZnO, and TiO 2 ). As a model biphasic material, Sn/SnO 2 was investigated where urea thermolysis enabled the progressive formation of metallic Sn while largely preserving the host structure, allowing the Sn0 fraction to be systematically controlled. Temperature-programmed experiments using mass spectrometry and FT-IR revealed the involvement of nitrogen-containing intermediates during urea decomposition and supported their central role in driving phase engineering of SnO 2 . Density functional theory (DFT) based calculations on a Sn/SnO 2 model constructed using a machine learning interatomic potential (MLIP) revealed electron transfer from metallic Sn to SnO 2 and the resulting redistribution of surface electron density. The resulting self-derived Sn/SnO 2 biphasic material yields favorable surface chemistry by altered surface oxygen behavior and reactivity translating directly into two applications: enhanced chemoresistive formaldehyde gas sensing under humid conditions with ppb-level detection, as well as improved formate production in electrochemical CO 2 reduction reaction (CO 2 RR). Our results identify active nitrogen as a chemical handle for regulating oxide partial reduction and provide a general framework for the systematic engineering of metal/oxide interfaces.

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Publication Details

Journal
ChemRxiv
Published
2026-11-05
DOI
https://doi.org/10.26434/chemrxiv.15011718/v1
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
preprint
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preprint

Self-Derived Metal/Oxide Interface Engineering via Active Nitrogen Mediation

Andreas Thomas Güntner, Seokhyun Choung, Matteo D’Andria, Gunjoo Kim et al.
ChemRxiv
Gas Sensing Nanomaterials and Sensors
preprint

Self-Derived Metal/Oxide Interface Engineering via Active Nitrogen Mediation

Andreas Thomas Güntner, Seokhyun Choung, Matteo D’Andria, Gunjoo Kim, Hyunjoo Lee, Matteo Quaranta, Hanjun Boo, Jeong Woo Han, Junpyo Lee
preprint en

Abstract

Self-derived phase engineering of metal oxides offers a powerful route to create interfaces without introducing foreign metallic elements, yet achieving systematic control over phase transition remains challenging. Here, active nitrogen-mediated phase engineering was demonstrated across various metal oxides (SnO 2 , ZnO, and TiO 2 ). As a model biphasic material, Sn/SnO 2 was investigated where urea thermolysis enabled the progressive formation of metallic Sn while largely preserving the host structure, allowing the Sn0 fraction to be systematically controlled. Temperature-programmed experiments using mass spectrometry and FT-IR revealed the involvement of nitrogen-containing intermediates during urea decomposition and supported their central role in driving phase engineering of SnO 2 . Density functional theory (DFT) based calculations on a Sn/SnO 2 model constructed using a machine learning interatomic potential (MLIP) revealed electron transfer from metallic Sn to SnO 2 and the resulting redistribution of surface electron density. The resulting self-derived Sn/SnO 2 biphasic material yields favorable surface chemistry by altered surface oxygen behavior and reactivity translating directly into two applications: enhanced chemoresistive formaldehyde gas sensing under humid conditions with ppb-level detection, as well as improved formate production in electrochemical CO 2 reduction reaction (CO 2 RR). Our results identify active nitrogen as a chemical handle for regulating oxide partial reduction and provide a general framework for the systematic engineering of metal/oxide interfaces.

ChemRxiv
Seoul National University (KR), Korea Advanced Institute of Science and Technology (KR), ETH Zurich (CH), Imperial College London (GB)
Gas Sensing Nanomaterials and Sensors
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