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A novel UiO-66/PSF-composite membrane for the rejection of multiple antibiotics: Numerical simulation and experiment verification

机译:一种新型UIO-66 / PSF复合膜,用于排斥多种抗生素:数值模拟和实验验证

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摘要

UiO-66 nanoparticles were fabricated and applied to the support layer of a novel, thin-film nanocomposite membrane for treatment of wastewater containing antibiotics. The incorporation of the UiO-66 particle structure improved the stability and permeability of the membrane. When the membrane with 0.5 wt% of UiO-66 particles was used to treat antibiotic wastewater by a forward-osmosis process, the water flux reached 50.78 LMH (L.m(-2).h(-1)), an increase of 46% compared with the membrane without UiO-66 particles. The rejections of six types of antibiotics improved to over 99.94%. Even tri-methoprims rejection rate enhanced to 100% because antibiotics exposed on the surface of the UiO-66 nanoparticles. The forward osmosis model could explain the mechanism of permeation, and predict water flux and rejection. Thus, a novel mathematical model with Gaussian pore distribution and different potential functions was proposed to process multiple-solute transportation and rejection on the charged surface of the membrane. The rejection of six antibiotics was predicted by the iteration algorithm, and the errors of water flux, salt flux, and rejection rates were less than 1.3 LMH, 0.2 gMH (g.m(-2) h(-1)), and 1.7% between the predictions and the experiments, respectively. The accuracy of the proposed model was higher than the model published before. Therefore, the experimental results and the theoretical model provide a significant insight into the synthesis thin-film composite membranes and application of water purification. (C) 2020 Published by Elsevier Ltd.
机译:制造UIO-66纳米颗粒并施加到新型薄膜纳米复合膜的支撑层上,用于处理含有抗生素的废水。 UIO-66颗粒结构的掺入改善了膜的稳定性和渗透性。当使用0.5wt%的UIO-66颗粒用前渗透过程使用0.5wt%的UIO-66颗粒进行抗生素废水时,水通量达到50.78 LMH(LM(-2).h(-1)),增加46%与没有UIO-66颗粒的膜相比。六种类型的抗生素的抑制力增加到超过99.94%。即使三甲基抑制率也增强至100%,因为暴露在UIO-66纳米颗粒表面上的抗生素。前渗透模型可以解释渗透机制,并预测水通量和排斥。因此,提出了一种具有高斯孔分布和不同潜在功能的新型数学模型,以处理膜的带电表面上的多溶质输送和排斥。通过迭代算法预测六种抗生素的排斥,水通量,盐通量和排斥率的误差小于1.3LmH,0.2gmH(GM(-2)H(-1))和1.7%预测和实验分别。拟议模型的准确性高于之前发布的模型。因此,实验结果和理论模型对合成薄膜复合膜进行了显着的见解,以及水净化的应用。 (c)2020由elestvier有限公司发布

著录项

  • 来源
    《Chemosphere》 |2021年第4期|128686.1-128686.11|共11页
  • 作者单位

    Donghua Univ Coll Environm Sci & Engn State Environm Protect Engn Ctr Pollut Treatment Shanghai 201620 Peoples R China;

    Donghua Univ Coll Environm Sci & Engn State Environm Protect Engn Ctr Pollut Treatment Shanghai 201620 Peoples R China;

    Donghua Univ Coll Environm Sci & Engn State Environm Protect Engn Ctr Pollut Treatment Shanghai 201620 Peoples R China;

    Donghua Univ Coll Environm Sci & Engn State Environm Protect Engn Ctr Pollut Treatment Shanghai 201620 Peoples R China;

    Donghua Univ Coll Environm Sci & Engn State Environm Protect Engn Ctr Pollut Treatment Shanghai 201620 Peoples R China;

    Donghua Univ Coll Environm Sci & Engn State Environm Protect Engn Ctr Pollut Treatment Shanghai 201620 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Forward osmosis; Electrospinning nanofiber; Metal-organic frameworks; Antibiotic wastewater; Multiple solutes forward-osmosis model;

    机译:前渗透;静电纺丝纳米纤维;金属 - 有机框架;抗生素废水;多溶解前进渗透模型;
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