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

Author:

Chen Yajing1,Zhang Dongzhi1ORCID,Wang Zijian1,Tang Mingcong1,Zhang Hao1

Affiliation:

1. College of Control Science and Engineering China University of Petroleum (East China) Qingdao 266580 China

Abstract

AbstractRecoverable 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 H2S colorimetric sensing. The composite hydrogel sensor is constructed by polyvinyl alcohol/boric acid/Pb2+ (PVA/Bn/Pb) hydrogel sensing layer and polyacrylamide/sodium alginate (PAM/SA) hydrogel adsorption layer. The change from white to brown is achieved in H2S and can be restored when placed in the air. The response/recovery mechanism is explained by the transfer of Pb2+ between hydrogels and the formation of an “Alginate‐Pb2+” 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 H2S sensing system is developed to enable non‐invasive halitosis diagnosis, egg freshness detection, and remote H2S 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 H2S gas sensing.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Qingdao Municipality

Natural Science Foundation of Shandong Province

Taishan Scholar Project of Shandong Province

Publisher

Wiley

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