合肥工业大学校徽

合肥工业大学学报自科版

合肥工业大学学报(自然科学版)

JOURNAL OF HEFEI UNIVERSITY OF TECHNOLOGY (NATURAL SCIENCE)

主管：中华人民共和国教育部

主办：合肥工业大学

ISSN 1003-5060, CN 34-1083/N

一种氢键多孔金属-有机框架材料的设计、组装及其爆炸物检测性能

Design, assembly, and explosives detection performance of a hydrogen-bonded porous metal-organic framework

期刊信息

合肥工业大学（自然科学版），2026年2月，第49卷第2期：233-236

DOI: 10.3969/j.issn.1003-5060.2026.02.014

作者信息

李影，张珉杰，朱成峰，金伟，张子蔚

（合肥工业大学化学与化工学院，安徽合肥230009）

摘要和关键词

摘要: 爆炸性化合物识别检测关系到环境和人类的安全,是当前科学研究的热点之一。文章利用一种含有脲基和羧基的双功能有机桥联配体与金属锌离子设计并组装一种晶态材料1,采用X-射线衍射仪(X-ray diffractometer, XRD)、热重分析仪(thermal gravimetric analyzer, TGA)、傅里叶变换红外光谱仪(Fourier transform infrared spectroscopy, FTIR)和荧光光谱仪等对其结构和性能进行分析。研究结果表明,晶态材料1是一种结晶于单斜晶系 $ P2_{1}/c $空间群的金属有机框架材料,其具有68.3%的内部孔隙、开放的分子通道和丰富的氢键位点,因此晶态材料1可作为一种传感材料来检测苦味酸等爆炸性硝基化合物。

关键词: 金属-有机框架；氢键功能位点；爆炸性化合物；荧光检测

Authors

LI Ying, ZHANG Minjie, ZHU Chengfeng, JIN Wei, ZHANG Ziwei

(School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei 230009, China)

Abstract and Keywords

Abstract: The recognition and detection of explosive compounds are related to the safety of the environment and human beings, which have become one of the hotspots of current scientific research. In this work, a crystalline material 1 was designed and assembled by using a bifunctional organic bridging ligand containing urea and carboxyl groups and metal zinc ions. The structure and properties of the crystalline compound were characterized by X-ray diffractometer (XRD), thermogravimetric analyzer (TGA), Fourier transform infrared spectroscopy (FTIR), and fluorescence spectroscopy. It is found that crystalline material 1 is a metal-organic framework material crystallized in the monoclinic $ P2_{1}/c $ space group, which has 68.3% internal pores, open molecular channels, and abundant hydrogen-bonding sites. As a sensing material, it is capable of effective detection of explosive nitro compounds such as picric acid.

Keywords: metal-organic framework; hydrogen-bonding functional site; explosive compounds; fluorescence detection

基金信息

国家自然科学基金资助项目（22271072）；2022年度合肥工业大学校级教学质量与教学改革工程资助项目（JYQN2208）和合肥工业大学大学生创新创业训练计划资助项目（S202210359142）

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