应用二维 MoS2 纳米花去除水中的新污染物

IF 4.3 Q2 ENGINEERING, CHEMICAL ACS Engineering Au Pub Date : 2023-09-29 DOI:10.1021/acsengineeringau.3c00032
Bhavya Joshi*, Ahmed M.E. Khalil, Shaowei Zhang*, Fayyaz A. Memon and Zhuxian Yang, 
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引用次数: 0

摘要

二维(2D)纳米材料-MoS2(二硫化钼)因其卓越的机械、生物和理化特性而备受研究人员的关注。本文报告了二维 MoS2 纳米花作为吸附剂去除有机染料和新出现的污染物环丙沙星的情况。该材料是通过绿色水热技术制备的,其 185.541m2/g 的高布鲁瑙尔-埃美特-泰勒比面积有助于去除 96% 的罗丹明-B 染料和 85% 的环丙沙星。X 射线衍射、扫描电子显微镜与能量色散光谱以及透射电子显微镜等多种表征方法均显示出具有良好结晶性的纳米花结构。通过对吸附时间、MoS2 用量、溶液 pH 值和温度等因素的影响进行批量研究,深入证实了二维 MoS2 纳米花作为吸附剂去除新兴污染物的可行性和有效性。根据热力学计算、吸附动力学和等温线模型,进一步研究了吸附机理。结果证实了焓驱动吸附的放热性质,以及吸附过程的快速动力学和物理吸附控制。二维 MoS2 的可回收潜力超过四次再生循环。研究表明,MoS2 纳米花是一种在水处理中有效去除有机污染物的吸附剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Application of 2D MoS2 Nanoflower for the Removal of Emerging Pollutants from Water

Two-dimensional (2D) nanomaterial-MoS2 (molybdenum disulfide) has gained interest among researchers, owing to its exceptional mechanical, biological, and physiochemical properties. This paper reports on the removal of organic dyes and an emerging contaminant, Ciprofloxacin, by a 2D MoS2 nanoflower as an adsorbent. The material was prepared by a green hydrothermal technique, and its high Brunauer-Emmett-Teller-specific area of 185.541m2/g contributed to the removal of 96% rhodamine-B dye and 85% Ciprofloxacin. Various characterizations, such as X-ray diffraction, scanning electron microscopy linked with energy-dispersive spectroscopy, and transmission electron microscopy, revealed the nanoflower structure with good crystallinity. The feasibility and efficacy of 2D MoS2 nanoflower as a promising adsorbent candidate for the removal of emerging pollutants was confirmed in-depth in batch investigations, such as the effects of adsorption time, MoS2 dosages, solution pH, and temperature. The adsorption mechanism was further investigated based on thermodynamic calculations, adsorption kinetics, and isotherm modeling. The results confirmed the exothermic nature of the enthalpy-driven adsorption as well as the fast kinetics and physisorption-controlled adsorption process. The recyclability potential of 2D MoS2 exceeds four regeneration recycles. MoS2 nanoflower has been shown to be an effective organic pollutant removal adsorbent in water treatment.

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ACS Engineering Au
ACS Engineering Au 化学工程技术-
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期刊介绍: )ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)
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