Insight into the Oxygen-Sensing Mechanisms of TiO2–CeO2 Mixed Oxides Treated in a High-Energy Ball Mill: An XPS Analysis

This study explored the oxygen-sensing mechanism of CeO2 modified with TiO2 via high-energy ball milling at different speeds. Different characterization techniques were employed to investigate the obtained materials. Quantitative surface analysis by X-ray photoelectron spectroscopy was conducted to elucidate their sensitivity mechanisms and assess the impact of the introduction of TiO2. A comparable concentration of oxygen vacancies was found in the samples milled at 350 and 450 rpm. Electrical measurements conducted at temperatures lower than required for semiconductor gas sensors revealed the higher sensitivity of these two samples in comparison to pure CeO2 at an oxygen concentration above 10%. In contrast, the samples derived from precursors milled at the highest speed exhibited the lowest sensitivity. This may be linked to a slight decrease in the vacancy concentration and the presence of a differentially charged carbon-containing phase. Eventually, the C 1s line provided significant insight into the surface characteristics of the materials. The uniform and non-uniform charging found for pure TiO2 and CeO2, respectively, along with the high charging of CeO2, suggest that TiO2 promotes the contact between the sensing layer and the overlayer. Sensor testing showed the significantly lower resistance of mixed oxides in comparison to CeO2, which increases the utility of metal oxide-based sensors.

Authors

Institutions

Publication Details

Journal
Inorganics
Published
2025-05-09
DOI
https://doi.org/10.3390/inorganics13050159
Citations
3
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
1.55

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Insight into the Oxygen-Sensing Mechanisms of TiO2–CeO2 Mixed Oxides Treated in a High-Energy Ball Mill: An XPS Analysis

Dana Vasiljević-Radović, Jelena N. Stevanović, Srdjan Petrović, Orlando M.N.D. Teodoro et al.
3 citations
Inorganics
Catalytic Processes in Materials Science
1.55
article

Insight into the Oxygen-Sensing Mechanisms of TiO2–CeO2 Mixed Oxides Treated in a High-Energy Ball Mill: An XPS Analysis

Dana Vasiljević-Radović, Jelena N. Stevanović, Srdjan Petrović, Orlando M.N.D. Teodoro, Nenad Bundaleski, Milija Sarajlić, Ana G. Silva
article en
3 citations

Abstract

This study explored the oxygen-sensing mechanism of CeO2 modified with TiO2 via high-energy ball milling at different speeds. Different characterization techniques were employed to investigate the obtained materials. Quantitative surface analysis by X-ray photoelectron spectroscopy was conducted to elucidate their sensitivity mechanisms and assess the impact of the introduction of TiO2. A comparable concentration of oxygen vacancies was found in the samples milled at 350 and 450 rpm. Electrical measurements conducted at temperatures lower than required for semiconductor gas sensors revealed the higher sensitivity of these two samples in comparison to pure CeO2 at an oxygen concentration above 10%. In contrast, the samples derived from precursors milled at the highest speed exhibited the lowest sensitivity. This may be linked to a slight decrease in the vacancy concentration and the presence of a differentially charged carbon-containing phase. Eventually, the C 1s line provided significant insight into the surface characteristics of the materials. The uniform and non-uniform charging found for pure TiO2 and CeO2, respectively, along with the high charging of CeO2, suggest that TiO2 promotes the contact between the sensing layer and the overlayer. Sensor testing showed the significantly lower resistance of mixed oxides in comparison to CeO2, which increases the utility of metal oxide-based sensors.

InorganicsVol. 13(5)
University of Lisbon (PT), University of Belgrade (RS), Universidade Nova de Lisboa (PT)
Science Fund of the Republic of Serbia, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 18%
Catalytic Processes in Materials Science
1.55
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.