Department of Chemistry , University College London , 20 Gordon Street , London WC1H 0AJ , U.K.
Division of Biomedical Engineering, School of Engineering, College of Science and Engineering , University of Glasgow , Glasgow G12 8LT , U.K.
ACS Appl Mater Interfaces. 2019 Mar 27;11(12):11618-11626. doi: 10.1021/acsami.8b22385. Epub 2019 Mar 14.
Metal-organic frameworks (MOFs) have shown great promise for sensing of dangerous chemicals, including environmental toxins, nerve agents, and explosives. However, challenges remain, such as the sensing of larger analytes and the discrimination between similar analytes at different concentrations. Herein, we present the synthesis and development of a new, large-pore MOF for explosives sensing and demonstrate its excellent sensitivity against a range of relevant explosive compounds including trinitrotoluene and pentaerythritol tetranitrate. We have developed an improved, thorough methodology to eliminate common sources of error in our sensing protocol. We then combine this new MOF with two others as part of a three-MOF array for luminescent sensing and discrimination of five explosives. This sensor works at part-per-million concentrations and, importantly, can discriminate explosives with high accuracy without reference to their concentration.
金属有机骨架（MOFs）在检测危险化学品方面显示出巨大的潜力，包括环境毒素、神经毒剂和爆炸物。然而，仍存在一些挑战，例如对较大分析物的检测和对不同浓度下相似分析物的区分。在此，我们提出了一种新的大孔 MOF 的合成和开发，用于爆炸物检测，并证明其对一系列相关爆炸物化合物（包括三硝基甲苯和季戊四醇四硝酸酯）具有优异的灵敏度。我们已经开发了一种改进的、全面的方法来消除我们的传感协议中常见的误差源。然后，我们将这种新型 MOF 与另外两种 MOF 结合在一起，组成一个三 MOF 阵列，用于五种爆炸物的发光传感和区分。该传感器可在百万分之几的浓度下工作，并且重要的是，无需参考其浓度即可高精度地区分爆炸物。
