使用各种定制的聚合物包被(PEG, PVP, PAA/淀粉)磁铁矿纳米颗粒选择性,有效和快速去除阳离子和阴离子有机染料

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Hawra A. AlSabbagh, Kawthar M. AlDamestani, Wael A. Amer, Javed Iqbal, O. M. Lemine, Nawal Madkhali and Kheireddine El-Boubbou
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引用次数: 0

摘要

开发新型的、选择性的、有效的纳米吸附剂,能够有效地去除废水处理中的阴离子和阳离子有机染料,仍然是一个挑战。在此,我们制备了不同的磁性纳米颗粒(MNPs),并包覆了不同的聚合物(PVP, PEG和PAA/Starch),并研究了它们对阴离子刚果红(CR)和阳离子亚甲基蓝(MB)两种常见染料的吸附能力。利用TEM、XRD、FTIR和VSM等多种电子和光谱技术对聚合物包覆MNPs的理化、结构、形态、组成和磁性进行了全面表征。所制备的聚合物包覆MNPs具有球形纳米颗粒(~ 5 ~ 15 nm)、纯晶化良好的立方尖晶石Fe3O4相、高饱和磁化和超顺磁性,易于磁分离。染料去除研究表明,定制的MNPs能够快速有效地吸附染料(>;吸附量高(qe = ~ 85 ~ 110 mg/g)。有趣的是,PAA/淀粉- mnps对阳离子MB的吸附效果最好,而PEG-MNPs对阴离子CR的吸附效果最好。吸附等温线和动力学研究表明,吸附发生在Langmuir或Freundlich等温吸附模型(R2 = 0.995)和拟二级吸附动力学(R2 = 0.999)之后。热力学数据表明,CR和MB在MNPs上的吸附过程都是吸热自发的。此外,采用密度泛函理论(DFT)方法全面了解染料-吸附剂相互作用的机理。DFT研究证实,这些观察结果主要归因于MNP表面接枝的功能化聚合物与特定染料之间的强静电和氢键相互作用。令人高兴的是,一项再生研究表明,磁性纳米吸附剂可以连续重复使用6次,并且具有很高的去除效率(>;65%),不使用任何解吸剂。这些独特的发现突出了所设计的聚合物包被MNPs作为有效的磁性纳米吸附剂的潜力,可以快速有效地处理工业废水。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Selective, effective, and rapid removal of cationic and anionic organic dyes using various tailored polymer-coated (PEG, PVP, PAA/starch) magnetite nanoparticles

Selective, effective, and rapid removal of cationic and anionic organic dyes using various tailored polymer-coated (PEG, PVP, PAA/starch) magnetite nanoparticles

The development of novel, selective, and effective nanosorbents that can efficiently eliminate both anionic and cationic organic dyes in wastewater treatment remains a challenge. Herein, we prepared different panels of magnetic nanoparticles (MNPs) coated with various polymers (PVP, PEG, and PAA/starch) and studied their adsorption capacity towards two common dyes: Anionic Congo red (CR) and cationic Methylene blue (MB). The physiochemical, structural, morphological, compositional, and magnetic properties of the polymer-coated MNPs were fully characterized using various electronic and spectroscopic techniques including TEM, XRD, FTIR, and VSM. The obtained polymer-coated MNPs exhibited spherical nanosized particles (∼5–15 nm), pure well-crystallized cubic spinel Fe3O4 phases, and high saturation magnetization with superparamagnetic behavior, rendering easy-magnetic separation. The dye removal studies showed that the tailor-made MNPs efficiently adsorb the dyes rapidly (> 99% in less than 2 minutes) with very high adsorption capacities (qe = ∼85–110 mg g−1). Interestingly, it was found that the adsorption is selective where PAA/starch-MNPs were the best at adsorbing the cationic MB, while PEG-MNPs completely removed the anionic CR. Adsorption isotherms and kinetics studies suggest that the adsorption occurs by the Langmuir or Freundlich isothermal adsorption models (R2 = 0.995) following pseudo-second-order adsorption kinetics (R2 = 0.999). Thermodynamic data showed that adsorption processes of both CR and MB onto MNPs were endothermic and spontaneous in nature. Moreover, an integrated theoretical density functional theory (DFT) method was employed to fully understand the mechanism behind the dye-adsorbent interactions. DFT studies confirmed that these observations are mainly attributed to strong electrostatic and H-bonding interactions between the grafted functionalized polymer on MNP surface and the specific dye. Delightfully, a regeneration study showed that the magnetic nanoadsorbents could be reused for six consecutive cycles with high removal efficiencies (> 65%), without the use of any desorption agents. These unique findings highlight the potential of the designed polymer-coated MNPs as effective magnetic nanosorbents for quick and efficient industrial wastewater treatment.

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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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