选择性
材料科学
荧光
化学战剂
共价键
纳米技术
分析物
共价有机骨架
分子
分子间力
化学传感器
氢键
分子识别
小分子
聚合物
甲基膦酸二甲酯
光化学
作者
Yujie Song,Leilei Wang,Qiaoru Zhang,Yiwei Liu,Mashooq Khan,Yanjun Gong,Shuya Liu,Mei Zhao,Qiongzheng Hu,Rusong Zhao,Yanke Che,Yongxian Guo
标识
DOI:10.1002/adfm.202527199
摘要
Abstract High‐performance detection of chemical warfare agents is essential for early warning and mitigation of associated hazards. However, achieving high selectivity detection remains a major challenge, especially under real‐world conditions where chemical interferences are ubiquitous. Herein, the ultra‐selective recognition of a nerve agent simulant, diethylchlorophosphate (DCP) is demonstrated, in complex environments with a novel dual‐response fluorescence system using COF‐based materials. The fluorescence system comprises two key sensing components: a fluorescent covalent organic framework ( COF ) and a fluorescent small organic molecule ( M1 )‐encapsulated COF ( M1@COF ). It exhibits the ultra‐selectivity for DCP vapor by two differential responsive signals, in which COF exhibits a turn‐on response and M1@COF displays a turn‐off response. Both materials demonstrate high sensitivity at 13 ppb and an ultra‐fast response time of 1.1 s. Remarkably, the system maintains excellent selectivity even under the presence of car exhaust and shower gel vapor, demonstrating its strong potential for practical applications. Mechanistic studies reveal that competing intermolecular interactions‐including hydrogen bonding between DCP and COF and covalent interactions between DCP and M1 ‐underlie the high selectivity of the system. This study highlights the promising potential of COF‐based materials for hazardous vapor recognition and paves the way for the development of high‐performance portable devices suitable for complex environments.
科研通智能强力驱动
Strongly Powered by AbleSci AI