摘要
Accurate detection and identification of hazardous gases in complex environments are essential for ensuring human health and safety in modern industrial systems. Although sensing technologies are rapidly advancing toward miniaturization, low power consumption, and multifunctionality, the scalable and reliable integration of complex nanostructures with functional materials remains a significant challenge. Here, we present a scalable and material-compatible strategy for fabricating suspended half-pipe nanostructures on the nanoimprinted substrates via integrating vapor-phase solvent-assisted nanotransfer printing with nanoimprint lithography. The resulting hierarchical architecture facilitates efficient gas–surface interactions and improves sensing performance under variable environmental conditions. We further demonstrate a self-heating gas sensing platform based on half-pipe nanostructures functionalized with SnO 2 and noble metals (Au, Pd, Pt), enabling accurate classification of H 2 , CH 4 , H 2 S, and NH 3 . With the assistance of machine learning algorithms, the platform achieves a recognition accuracy approaching 100 %. Furthermore, an integrated Pt nano heater delivers efficient thermal regulation within the range of 100–500℃, establishing optimal operating conditions for gas-sensitive materials while significantly reducing overall power consumption. This work offers a universal and scalable fabrication approach for advanced gas sensors, paving the way for intelligent, energy-efficient, and high-selectivity sensing platforms suitable for next-generation industrial and environmental monitoring.
危险品化学品经营许可证(带存储)