Interface engineering of mesoporous SnO2/TiO2 heterojunction with tailored defects for light-motivated gas sensor
Abstract The convergence of embodied intelligence, neuromorphic computing, and the Internet of Things has propelled intelligent gas sensors to the forefront of artificial olfaction, enabling adaptive, context-aware, and biologically inspired odor perception. Tailoring active sites or defects in sensing materials is an efficient strategy to confer selective gas-surface recognition constitutes for amplifying sensor sensitivity. Herein, a facile ligand-mediated interfacial co-assembly strategy was developed to construct mesoporous crystalline SnO2/TiO2 composites, which enables a composition-dependent structural evolution from Sn-substituted TiO2 solid solutions to well-defined n-n heterojunctions. Density functional theory (DFT) calculations reveal that Sn4+ ions can be substitutionally incorporated into the TiO2 lattice to form charge-balanced Sn-O-Ti bridging units, whereas excessive Sn induces spontaneous phase separation to establish SnO2/TiO2 heterojunctions. The optimized mesoporous hybrids exhibit ∼22-fold higher photocurrent and ∼4-fold stronger light-motivated ethanol sensing response than pristine mesoporous TiO2 under identical conditions. The outstanding performance was attributed to the site-selective doping that effectively tune the local electronic structure and promote the efficient separation and directional transport of photogenerated charges. In-situ doping allows for the tailoring engineering of the pore wall chemical microenvironment, affording an active interface conducive to target gas adsorption and detection reactions. This study establishes a design paradigm for coupling surface reactivity regulation with charge transfer engineering in light-activated gas sensors.
Authors
- Yonghui Deng (ORCID: https://orcid.org/0000-0002-0657-9397)
- Junhao Ma (ORCID: https://orcid.org/0000-0003-0803-4718)
- Yidong Zou (ORCID: https://orcid.org/0000-0002-3549-8430)
- Bo Tao (ORCID: https://orcid.org/0000-0002-4058-6128)
- Yu Deng (ORCID: https://orcid.org/0000-0001-6065-512X)
- Lingxiao Xue
- Jichun Li
- Qin Yue
Institutions
- Tongji University (CN)
- University of Electronic Science and Technology of China (CN)
- Fudan University (CN)
- Collaborative Innovation Center of Chemistry for Energy Materials (CN)
- Ningbo Institute of Industrial Technology (CN)
Publication Details
- Journal
- National Science Review
- Published
- 2026-09-08
- DOI
- https://doi.org/10.1093/nsr/nwag584
- Primary Topic
- Gas Sensing Nanomaterials and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.00