Achieving Switchable CO/H2 Detection with Selectivity-Tunable SnO2–Co3O4 Sensors
Source abstract
Abstract
The limited selectivity of metal oxide semiconductor (MOS) sensors poses a persistent challenge to their practical implementation. Here, we demonstrate switchable CO/H 2 detection through tailored gas adsorption properties enabled by compositional engineering of SnO 2 –Co 3 O 4 nanocomposites. To address gas mixture quantification, we developed a dual-functional sensor array featuring distinct SnO 2 –Co 3 O 4 sensing units optimized for H 2 and CO detection, respectively. This architecture, when integrated with gradient boosting regression (GBR) algorithms, achieves simultaneous concentration prediction of both analytes in complex gaseous environments. Furthermore, a comprehensive investigation combining experimental characterization and first-principles calculations reveals the underlying mechanism governing selectivity modulation in these heterostructures. The work offers critical experimental insights and theoretical foundations for rational design of high-selectivity gas-sensing platforms.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Gas Sensing Nanomaterials and Sensors · Advanced Photocatalysis Techniques · Analytical Chemistry and Sensors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Microelectronics
Tianjin University
State Key Laboratory of Advanced Materials for Intelligent Sensing
Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology
Funding
National Natural Science Foundation of China
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