Selective sensing and visualization of pesticides by ABW-type metal–organic framework based luminescent sensors
Autor: | Jian Li, Ling Di, Zhanxu Yang, Zhengqiang Xia, Chun Li, Yang Xing, Zhongxing Geng |
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Rok vydání: | 2019 |
Předmět: |
Materials science
Trace Amounts Vapor pressure General Chemical Engineering Analytical chemistry 02 engineering and technology General Chemistry 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences Photoinduced electron transfer 0104 chemical sciences Förster resonance energy transfer Bathochromic shift Emission spectrum 0210 nano-technology Luminescence Absorption (electromagnetic radiation) |
Zdroj: | RSC Advances. 9:38469-38476 |
ISSN: | 2046-2069 |
DOI: | 10.1039/c9ra08940c |
Popis: | A new ABW-type luminescent metal–organic framework (MOF) namely (H3O)[Zn2L(H2O)]·3NMP·6H2O (1), constructed with eco-friendly Zn2+ and the multicarboxylate intraligand (LH5) was designed, synthesized and fully characterized by X-ray single-crystal diffraction, steady-state absorption and emission spectroscopy, and SEM observations. The MOF-based suspension sensor 1 (NMP) demonstrated high sensitivity to low-concentration pesticides of chlorothalonil (CTL), nitrofen (NF), trifluralin (TFL), and 2,6-dichloro-4-nitroaniline (DCN), which was assigned to the synergistic effect of the photoinduced electron transfer and the fluorescence resonance energy transfer. With the highest luminescent detection efficiency (KSV up to 11.194 μmol−1 and LOD down to 2.93 ppm) to DCN, 1 (NMP) was successfully applied for the selective sensing of DCN. The MOF-based film sensor 1 (film) illustrated the selective visualization sensing of trace amounts of DCN. In addition, based on the high saturated vapor pressure of TFL and the unique bathochromic shift effect to the emission maxima of 1, the MOF-based luminescent vapor sensing device 1 (LED) successfully exhibited operability for sensing of TFL vapor. The results illustrated a feasible approach to construct new MOF-based luminescent sensors for selective sensing and visualization of pesticides. |
Databáze: | OpenAIRE |
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