Citation: Xiaxia Xing, Xiaoyu Chen, Zhenxu Li, Xinhua Zhao, Yingying Tian, Xiaoyan Lang, Dachi Yang. Polyethylene imine functionalized porous carbon framework for selective nitrogen dioxide sensing with smartphone communication[J]. Chinese Chemical Letters, ;2024, 35(9): 109230. doi: 10.1016/j.cclet.2023.109230 shu

Polyethylene imine functionalized porous carbon framework for selective nitrogen dioxide sensing with smartphone communication

Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Engineering Research Center of Thin Film Optoelectronics Technology, Ministry of Education and Department of Electronics, College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, China

yangdachi@nankai.edu.cn

Received Date: 18 July 2023
Revised Date: 6 September 2023
Accepted Date: 23 October 2023
Available Online: 25 October 2023

Figures(5)

Highly selective and remotely communicable nitrogen dioxide (NO₂) sensing may contribute to future Internet of Things in environmental monitoring. However, room-temperature NO₂ sensing materials such as carbon materials is still less than satisfactory due to their insensitive interaction with target gas. Here, polyethylene imine functionalized three-dimensional (3D) carbon framework (PEI/C framework) has been developed for enhanced selective NO₂ sensing, via combined template synthesis and subsequent doping. Typically, the 3D PEI/C framework is observed porous shape with irregular coating. Beneficially, the response of C framework to NO₂ increases while those of interfering gases decrease after being functionalized with PEI. Remarkably, the sensor prototypes show a 100 ppb-concentration detection limit at room temperature. Theoretically, such excellent NO₂ sensing is attributed to the large specific surface ratio of porous 3D PEI/C framework, in which PEI serves as an active layer for target NO₂, while a passivated one for interfering gases. Practically, such PEI/C framework sensor prototype is simulated for NO₂ sensing device and communicated with a smartphone, showing great potential in future intelligent environmental monitoring.
- PEI/C framework,
- Nitrogen dioxide sensing,
- Enhanced selectivity,
- Smartphone communication,
- Practical monitoring simulation
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