Pb2+ Transfer‐Enabled Recoverable Hydrogel‐Based H2S Colorimetric Sensing with Assistance of Multimodal Deep Learning for Multifunctional Applications

材料科学 学习迁移 纳米技术 化学工程 人工智能 计算机科学 工程类
作者
Yajing Chen,Dongzhi Zhang,Zijian Wang,Mingcong Tang,Hao Zhang
出处
期刊:Advanced Functional Materials [Wiley]
标识
DOI:10.1002/adfm.202409017
摘要

Abstract Recoverable and humidity‐tolerant colorimetric sensors are extremely difficult to overcome. In this work, a composite hydrogel sensor based on chelation reaction is proposed for the first time to achieve ultra‐fast recovery and ultra‐low detection limit (LOD) of H 2 S colorimetric sensing. The composite hydrogel sensor is constructed by polyvinyl alcohol/boric acid/Pb 2+ (PVA/Bn/Pb) hydrogel sensing layer and polyacrylamide/sodium alginate (PAM/SA) hydrogel adsorption layer. The change from white to brown is achieved in H 2 S and can be restored when placed in the air. The response/recovery mechanism is explained by the transfer of Pb 2+ between hydrogels and the formation of an “Alginate‐Pb 2+ ” with egg‐box structure during the process. The multimodal fusion deep neural network (MF‐DNN) can overcome the error caused by hydrogel aging. Due to the excellent loading and diffusion function provided by the 3D structure of hydrogel, the sensor has a broad detection range of 0.2–100 ppm, a response/recovery time of 10s/32s, and a theoretical LOD of 0.026 ppm. A smartphone‐based H 2 S sensing system is developed to enable non‐invasive halitosis diagnosis, egg freshness detection, and remote H 2 S monitoring and alarming. The system is recoverable, humidity‐tolerant, capable of ultrafast detection and widely applicable. This work provides inspiration for humidity‐tolerant and recoverable H 2 S gas sensing.
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