电纺菠萝叶纤维/MIL-101(Fe)- nh2 -环糊精纳米纤维膜对废水中污染物的选择性去除

IF 3.1 4区 工程技术 Q3 CHEMISTRY, PHYSICAL
Timoth Mkilima, Gulnur Saspugayeva, Gulzhan Kaliyeva, Indira Samatova, Bibigul Rakhimova, Gulkhan Tuleuova, Akku Tauyekel, Yelena Batyayeva, Rosa Karibzhanova, Salima Cherkeshova
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引用次数: 0

摘要

废水中的药物污染对水生生态系统和人类健康构成重大威胁。传统的废水处理方法往往难以有效地去除这些新出现的污染物。本研究探讨了MIL-101(Fe)- nh2 -环糊精纳米纤维作为新型吸附剂去除废水中药物污染物的潜力。将该材料的性能与传统的菠萝叶静电纺丝纤维(一种替代性生物基吸附剂)进行比较。与菠萝叶纤维相比,MIL-101(Fe)- nh2 -环糊精纳米纤维的吸附能力和动力学都有显著提高。例如,在初始浓度为100 mg/L、pH为7时,MIL-101(Fe)- nh2 -环糊精纳米纤维对环丙沙星的去除率为96±2%,而菠萝叶纤维的去除率仅为65±3.5%。这种优异的性能归功于材料的高BET表面积(1220 m2/g)和宽孔径分布,为污染物吸附提供了广阔的表面积,并为捕获污染物提供了复杂的网络,以及环糊精功能化的活性位点,从而增强了主客体相互作用和氢键。此外,MIL-101(Fe)- nh2 -环糊精对环丙沙星的吸附动力学更快,在60分钟内达到平衡,而菠萝叶纤维的吸附时间为120分钟。这些发现表明MIL-101(Fe)- nh2 -环糊精纳米纤维为去除废水中的药物污染物提供了一种有前途的替代方法。它的高去除效率、快速动力学和可重复使用的潜力使其成为解决水生环境中日益严重的药物污染问题的有价值的工具。需要进一步的研究来优化其性能并评估其在实际应用中的可行性,但这项研究为开发创新和有效的解决方案来保护我们的水资源提供了一个引人注目的路线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Electrospun Pineapple Leaf Fiber/MIL-101(Fe)-NH₂-Cyclodextrin nanofibrous membranes for enhanced and selective removal of contaminants from Wastewater

Electrospun Pineapple Leaf Fiber/MIL-101(Fe)-NH₂-Cyclodextrin nanofibrous membranes for enhanced and selective removal of contaminants from Wastewater

Pharmaceutical contamination of wastewater poses a significant threat to aquatic ecosystems and human health. Traditional wastewater treatment methods often struggle to effectively remove these emerging contaminants. This study investigated the potential of MIL-101(Fe)-NH2-Cyclodextrin nanofibers as a novel adsorbent for removing pharmaceutical contaminants from wastewater. The performance of this material was compared to traditional Electrospun Pineapple Leaf Fiber, an alternative bio-based adsorbent. MIL-101(Fe)-NH2-Cyclodextrin nanofibers exhibited significantly enhanced adsorption capacity and kinetics compared to Pineapple Leaf Fiber. For example, at an initial concentration of 100 mg/L and pH 7, MIL-101(Fe)-NH2-Cyclodextrin nanofibers achieved a removal efficiency of 96 ± 2% for Ciprofloxacin, while Pineapple Leaf Fiber only achieved 65 ± 3.5%. This superior performance is attributed to the material’s high BET surface area (1220 m2/g) and broad pore size distribution, providing a vast surface area for contaminant adsorption and an intricate network for trapping contaminants as well as cyclodextrin-functionalized active sites, which enhance host-guest interactions and hydrogen bonding. Furthermore, MIL-101(Fe)-NH2-Cyclodextrin exhibited faster adsorption kinetics, achieving equilibrium within 60 min for Ciprofloxacin, compared to 120 min for Pineapple Leaf Fiber. These findings suggest that MIL-101(Fe)-NH2-Cyclodextrin nanofibers offer a promising alternative to traditional adsorbents for removing pharmaceutical contaminants from wastewater. Its high removal efficiency, fast kinetics, and potential for reusability make it a valuable tool for addressing the increasing issue of pharmaceutical pollution in aquatic environments. Further research is needed to optimize its performance and assess its feasibility for real-world applications, but this study offers a compelling roadmap for developing innovative and effective solutions for safeguarding our water resources.

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来源期刊
Adsorption
Adsorption 工程技术-工程:化工
CiteScore
8.10
自引率
3.00%
发文量
18
审稿时长
2.4 months
期刊介绍: The journal Adsorption provides authoritative information on adsorption and allied fields to scientists, engineers, and technologists throughout the world. The information takes the form of peer-reviewed articles, R&D notes, topical review papers, tutorial papers, book reviews, meeting announcements, and news. Coverage includes fundamental and practical aspects of adsorption: mathematics, thermodynamics, chemistry, and physics, as well as processes, applications, models engineering, and equipment design. Among the topics are Adsorbents: new materials, new synthesis techniques, characterization of structure and properties, and applications; Equilibria: novel theories or semi-empirical models, experimental data, and new measurement methods; Kinetics: new models, experimental data, and measurement methods. Processes: chemical, biochemical, environmental, and other applications, purification or bulk separation, fixed bed or moving bed systems, simulations, experiments, and design procedures.
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