High-Performance Ethylene Glycol Sensor Based on Imine Covalent Organic Frameworks

Nanomaterials (Basel). 2023 Dec 8;13(24):3103. doi: 10.3390/nano13243103.

Abstract

The colorless and odorless ethylene glycol is prone to unknowingly causing poisoning, making preventive monitoring of ethylene glycol necessary. In this paper, scandium (III) trifluoromethanesulfonate was used as a catalyst to successfully prepare covalent organic framework (COF) nanospheres linked by imines at room temperature. The COF nanospheres were characterized by XRD, SEM, TEM, FT-IR, UV-Vis and BET. The results show that COF nanospheres have rough surfaces and a large number of mesoporous structures, which greatly increase the active sites on the surface of the sensing material and enhance the gas sensing performance. The sensing results showed that the prepared imine-conjugated COF nanospheres exhibited a good response-recovery ability for 10 consecutive response-recovery cycles for ethylene glycol at room temperature and had a theoretical detection limit of 40 ppb. In addition, the responses of COF nanospheres to nearly 20 interfering gases, including HCl, HNO3, phenol, formaldehyde and aniline, are relatively low compared to the response to ethylene glycol, indicating that the COF nanospheres have high selectivity towards ethylene glycol. The COF nanospheres show good sensitivity and selectivity for the detection of ethylene glycol, which should be attributed to the large specific surface area, hydrogen bonding interactions, and high defects. This work provides an effective method for the detection of ethylene glycol and expands the application field of COF materials.

Keywords: covalent organic frameworks; ethylene glycol sensor; long-term stability; selectivity.

Grants and funding

This research was funded by the National Natural Science Foundation of China (21964016), Xinjiang National Science Fund for Distinguished Young Scholars (2022D01E37), Key programs of Xinjiang Natural Science Foundation (2022B02051), Tianshan Innovation Team Program of Xinjiang Uygur Autonomous Region (2023D14001) and Xinjiang University Outstanding Doctoral Student Innovation Program (XJU2023BS027).