介孔材料
材料科学
异质结
光电流
纳米技术
神经形态工程学
兴奋剂
吸附
化学传感器
离子
接口(物质)
桥接(联网)
表面工程
生物传感器
光电子学
格子(音乐)
密度泛函理论
载流子
气相
化学工程
计算机科学
作者
Yidong Zou,Yu Deng,Yu Deng,Lingxiao Xue,Junhao Ma,Jichun Li,Tao Bo,Yonghui Deng,Yonghui Deng,Qin Yue
摘要
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.
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