AIEgen-based metal-organic frameworks as sensing “toolkit” for identification and analysis of energetic compounds
The identification and analysis of energetic compounds are important technology in the field of national defence and environmental monitoring. However, as the rapid development of high-energy density materials, designing universal detection strategy for energetic compounds and their composites is st...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co. Ltd.
2022-12-01
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| Series: | Energetic Materials Frontiers |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666647222000756 |
| _version_ | 1797936307903660032 |
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| author | Long-yi Zhu Bin Zhu Ying Wan Sheng-yuan Deng Zhang-dong Yu Chong Zhang Jun Luo |
| author_facet | Long-yi Zhu Bin Zhu Ying Wan Sheng-yuan Deng Zhang-dong Yu Chong Zhang Jun Luo |
| author_sort | Long-yi Zhu |
| collection | DOAJ |
| description | The identification and analysis of energetic compounds are important technology in the field of national defence and environmental monitoring. However, as the rapid development of high-energy density materials, designing universal detection strategy for energetic compounds and their composites is still challenging. Herein, we construct a suite of AIEgen-based metal-organic frameworks (MOFs) as the sensing “toolkit” for discriminating four types of energetic compounds, including nitroaromatics, nitrogen-rich heterocycles, nitramine and nitroenamine. Through manipulating the structure of linker and coordination patterns of MOFs scaffold, diversified fluorescence responses can be obtained to simultaneously probe the fluorescence quenching and competitive binding abilities of different energetic compounds in aqueous systems. The “toolkit” sensor array with fluorescence pattern recognition could successfully discriminate seven iconic energetic compounds by principal component analysis. Further performance studies show that the heterogenous materials of energetic compounds can be quantitatively analyzed with linear relationship between stoichiometries and principal component values. The composites from different types of energetic compounds are rapidly identified via AIE MOF-based logic operations. The resulting sensing “toolkit” provides a new avenue for designing olfactory-mimic sensing system. |
| first_indexed | 2024-04-10T18:28:48Z |
| format | Article |
| id | doaj.art-6331ba59c5654efaa3dabd1b7ad67257 |
| institution | Directory Open Access Journal |
| issn | 2666-6472 |
| language | English |
| last_indexed | 2024-04-10T18:28:48Z |
| publishDate | 2022-12-01 |
| publisher | KeAi Communications Co. Ltd. |
| record_format | Article |
| series | Energetic Materials Frontiers |
| spelling | doaj.art-6331ba59c5654efaa3dabd1b7ad672572023-02-02T04:50:28ZengKeAi Communications Co. Ltd.Energetic Materials Frontiers2666-64722022-12-0134257265AIEgen-based metal-organic frameworks as sensing “toolkit” for identification and analysis of energetic compoundsLong-yi Zhu0Bin Zhu1Ying Wan2Sheng-yuan Deng3Zhang-dong Yu4Chong Zhang5Jun Luo6School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China; Corresponding author.School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, ChinaSchool of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, 210094, ChinaSchool of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, ChinaSchool of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, ChinaSchool of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China; Corresponding author.The identification and analysis of energetic compounds are important technology in the field of national defence and environmental monitoring. However, as the rapid development of high-energy density materials, designing universal detection strategy for energetic compounds and their composites is still challenging. Herein, we construct a suite of AIEgen-based metal-organic frameworks (MOFs) as the sensing “toolkit” for discriminating four types of energetic compounds, including nitroaromatics, nitrogen-rich heterocycles, nitramine and nitroenamine. Through manipulating the structure of linker and coordination patterns of MOFs scaffold, diversified fluorescence responses can be obtained to simultaneously probe the fluorescence quenching and competitive binding abilities of different energetic compounds in aqueous systems. The “toolkit” sensor array with fluorescence pattern recognition could successfully discriminate seven iconic energetic compounds by principal component analysis. Further performance studies show that the heterogenous materials of energetic compounds can be quantitatively analyzed with linear relationship between stoichiometries and principal component values. The composites from different types of energetic compounds are rapidly identified via AIE MOF-based logic operations. The resulting sensing “toolkit” provides a new avenue for designing olfactory-mimic sensing system.http://www.sciencedirect.com/science/article/pii/S2666647222000756Energetic compoundsAggregation-induced emissionMetal-organic frameworksChemo-sensingFluorescence pattern recognition |
| spellingShingle | Long-yi Zhu Bin Zhu Ying Wan Sheng-yuan Deng Zhang-dong Yu Chong Zhang Jun Luo AIEgen-based metal-organic frameworks as sensing “toolkit” for identification and analysis of energetic compounds Energetic Materials Frontiers Energetic compounds Aggregation-induced emission Metal-organic frameworks Chemo-sensing Fluorescence pattern recognition |
| title | AIEgen-based metal-organic frameworks as sensing “toolkit” for identification and analysis of energetic compounds |
| title_full | AIEgen-based metal-organic frameworks as sensing “toolkit” for identification and analysis of energetic compounds |
| title_fullStr | AIEgen-based metal-organic frameworks as sensing “toolkit” for identification and analysis of energetic compounds |
| title_full_unstemmed | AIEgen-based metal-organic frameworks as sensing “toolkit” for identification and analysis of energetic compounds |
| title_short | AIEgen-based metal-organic frameworks as sensing “toolkit” for identification and analysis of energetic compounds |
| title_sort | aiegen based metal organic frameworks as sensing toolkit for identification and analysis of energetic compounds |
| topic | Energetic compounds Aggregation-induced emission Metal-organic frameworks Chemo-sensing Fluorescence pattern recognition |
| url | http://www.sciencedirect.com/science/article/pii/S2666647222000756 |
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