Preparation of composite material sodium dodecyl sulfonate/2-methylimidazole zinc MOF/ palygorskite and its high- efficiency adsorption for tetracycline
Source abstract
Abstract
In this study, a one pot self-assembly strategy was adopted in aqueous solution to prepare a new material of sodium dodecyl sulfonate/2-methylimidazole zinc MOF/palygorskite (SDS/ZIF-8/PAL, abbreviated as SZP) with certain mesopores and high adsorption capacity for tetracycline. The material was prepared using surfactants such as sodium dodecyl sulfonate (SDS), Zn(NO 3) 2·6H 2O, 2-methylimidazole (2-MI) (maintaining 2-MI: Zn 2+ = 10: 1), and palygorskite (PAL), and was environmentally friendly in both preparation and application. The saturated adsorption capacity of SZP was 914 mg/g at pH 7.0, temperature 298 K, adsorption time 180 min and ionic strength 0.01 mol/L, which was much higher than that of unmodified PAL and TC adsorption materials in other reports. X-ray photoelectron spectroscopy (XPS) analysis showed that SZP mainly removes TC through hydrogen bonding and coordination. Furthermore, SZP had good adsorption selectivity for TC, and the interference of dissolved organic substances, coexisting inorganic anions, cations and antibiotics with high detection rate in environmental water was small. And the removal rate was still above 90 % after five times of reuse. When SZP was applied to adsorb TC simulated water samples with different environmental water as the background, the concentration was 2.5 times of the highest concentration (20 mg/L) in actual aquaculture water, and the removal rate was up to 97 %. It showed that SZP can not only remove all TC from environmental water, but also its adsorption capacity far exceeds the pollution capacity, which indicated that SZP has potential application value in removing TC from environmental water.
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Research context
OpenAlex topics: Adsorption and biosorption for pollutant removal · Metal-Organic Frameworks: Synthesis and Applications · Layered Double Hydroxides Synthesis and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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