Tolan, D. A., Elshehy, E. A., El-Said, W. A., Taketsugu, T., Yoshizawa, K., El-Nahas, A. M., Kamali, A. R. and Abdelkader, A. M., 2022. Cubically cage-shaped mesoporous ordered silica for simultaneous visual detection and removal of uranium ions from contaminated seawater. Microchimica Acta, 189, 3.
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DOI: 10.1007/s00604-021-05083-7
Abstract
A dual-function organic-inorganic mesoporous structure is reported for naked-eye detection and removal of uranyl ions from an aqueous environment. The mesoporous sensor/adsorbent is fabricated via direct template synthesis of highly ordered silica monolith (HOM) starting from a quaternary microemulsion liquid crystalline phase. The produced HOM is subjected to further modifications through growing an organic probe, omega chrome black blue G (OCBBG), in the cavities and on the outer surface of the silica structure. The spectral response for [HOM-OCBBG → U(VI)] complex shows a maximum reflectance at λmax = 548 nm within 1 min response time (tR); the LOD is close to 9.1 μg/L while the LOQ approaches 30.4 μg/L, and this corresponds to the range of concentration where the signal is linear against U(VI) concentration (i.e., 5-1000 μg/L) at pH 3.4 with standard deviation (SD) of 0.079 (RSD% = 11.7 at n = 10). Experiments and DFT calculations indicate the existence of strong binding energy between the organic probe and uranyl ions forming a complex with blue color that can be detected by naked eyes even at low uranium concentrations. With regard to the radioactive remediation, the new mesoporous sensor/captor is able to reach a maximum capacity of 95 mg/g within a few minutes of the sorption process. The synthesized material can be regenerated using simple leaching and re-used several times without a significant decrease in capacity. Graphical abstract: [Figure not available: see fulltext.]
Item Type: | Article |
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ISSN: | 0026-3672 |
Uncontrolled Keywords: | Chromogenic probes; High-ordered silica; Mesoporous materials; Nuclear waste; Radioactive pollution; Uranium adsorption |
Group: | Faculty of Science & Technology |
ID Code: | 38524 |
Deposited By: | Symplectic RT2 |
Deposited On: | 24 Jul 2023 13:34 |
Last Modified: | 24 Jul 2023 13:34 |
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