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PMID: 42363953 已发表 · ppublish 英语

TiO2/SnO2-Pt Janus-Type Nanofibers with Gradient Band Distribution for Enhanced Room-Temperature NO2 Detection via Cascade Photo-Generated Charge Transfer.

ACS sensors ·第 11 卷 ·第 7 期 ·2026-07-24

Wu X, Li X, Cheng W, Chen X, Yin Y, Zeng Y, Han C, Shao C, Liu Y

摘要

Room-temperature metal oxide semiconductor (MOS) gas sensors enabled by photoexcitation have demonstrated significant potential in various applications due to their outstanding advantages, such as the absence of heating requirements, low power consumption, and high safety. However, conventional MOS often suffers from inefficient charge separation and rapid recombination of photogenerated carriers, which significantly hamper the sensing performance of photoexcited MOS gas sensors. Here, we designed ternary TiO2/SnO2-Pt Janus-type heterojunction nanofibers (JHNFs) with a gradient band distribution for high-performance NO2 detection. The structurally ordered, one-dimensional nanofiber architecture largely promotes efficient and directional transport of photogenerated carriers. The gradient band distribution of the TiO2/SnO2-Pt JHNFs facilitates a cascade charge transfer pathway, synergistically enhancing photogenerated carrier utilization and surface NO2 adsorption. Under room-temperature UV excitation, the sensors based on TiO2/SnO2-Pt JHNFs demonstrate a much higher response to NO2 compared to pure SnO2 (5.3-fold enhancement) and TiO2 (6.7-fold enhancement) counterparts. In addition, the sensor achieves a low detection limit of 50 ppb, rapid response/recovery, and excellent long-term stability. Our findings not only systematically unravel the relationship between gas sensing performance and photogenerated carrier separation but also establish a feasible design strategy for developing high-performance photoactivated room-temperature gas sensors.

关键词
Janus-type heterojunction TiO2/SnO2−Pt UV-activated gas sensor gradient band distribution room-temperature
文献信息
期刊
ACS sensors
期刊简称
ACS Sens
ISSN
2379-3694
发表日期
2026-07-24
语言
英语
国家/地区
United States
NLM ID
101669031
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