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使用插层膨润土与铝锌混合氧化物纳米颗粒去除废水中的马拉硫磷和滴滴涕农药的评估

Removal assessment of malathion and dichlorodiphenyltrichloroethane pesticides from wastewater using intercalated bentonite clay with mixed aluminum-zinc oxides nanoparticles.

作者信息

Ali Ahmed S M, Allam Elhassan A, Nabil Gehan M, Mahmoud Mohamed E, El-Sharkawy Rehab M

机构信息

Nuclear Power Plants Authority (NPPA) P.O. Box 11381 Cairo Egypt.

Department of Chemistry, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University Al-Kharj 11942 Saudi Arabia.

出版信息

RSC Adv. 2025 May 7;15(19):14929-14945. doi: 10.1039/d5ra00683j. eCollection 2025 May 6.

Abstract

The presence of agrochemical residues in wastewater resources has raised high concerns owing to their hazardous impacts on the human health and integrity of ecosystems. In this regard, a cost-effective and readily available nanocomposite was designed and assembled the combination of nano-bentonite (N-Bent), nanoalumina (NAlO), and nanozinc oxide (NZnO) for the formation of N-Bent-NAlO-NZnO. This nanocomposite was developed to remove two specific pesticides, namely, malathion and dichlorodiphenyltrichloroethane (DDT), which are frequently detected in surface water from polluted wastewater samples. The characterization of the as-synthesized N-Bent-NAlO-NZnO nanocomposite was performed using SEM, XRD, HR-TEM, FTIR, BET and TGA techniques. SEM and HR-TEM investigations revealed a favorable degree of homogeneity and surface porosity, with an average particle size of 69.8-86.9 nm. The potential use of this nanocomposite for pesticide pollutant removal was evaluated under diverse conditions a batch adsorption approach. At pH 3.0, the highest observed removal (%) rate was 97.42% for malathion and 94.83% for DDT. These results revealed that N-Bent-NAlO-NZnO exhibited a significantly greater overall removal efficiency for malathion than for DDT. The Langmuir model demonstrated = 0.997 and 0.991 for malathion and DDT, respectively. Besides, the pseudo second order model exhibited = 0.997 for malathion and 0.995 for DDT, indicating that these were the most suitable isotherm and kinetic model. According to the Langmuir model, the maximum removal capacities were 34.20 mg g for malathion and 28.36 mg g for DDT. Additionally, the effectiveness of N-Bent-NAlO-NZnO in removing malathion and DDT after five repeated adsorption-desorption cycles was achieved as 84.63% and 81.76%, respectively. These results suggest that N-Bent-NAlO-NZnO could serve as a viable and effective nanocomposite for treating wastewater generated from agricultural activities.

摘要

由于农用化学品残留物对人类健康和生态系统完整性具有有害影响,其在废水资源中的存在引发了高度关注。在这方面,设计并组装了一种具有成本效益且易于获得的纳米复合材料,即纳米膨润土(N-Bent)、纳米氧化铝(NAlO)和纳米氧化锌(NZnO)的组合,以形成N-Bent-NAlO-NZnO。开发这种纳米复合材料是为了去除两种特定的农药,即马拉硫磷和二氯二苯三氯乙烷(DDT),它们在受污染废水样本的地表水中经常被检测到。使用扫描电子显微镜(SEM)、X射线衍射(XRD)、高分辨率透射电子显微镜(HR-TEM)、傅里叶变换红外光谱(FTIR)、比表面积分析仪(BET)和热重分析(TGA)技术对合成的N-Bent-NAlO-NZnO纳米复合材料进行了表征。SEM和HR-TEM研究显示出良好的均匀度和表面孔隙率,平均粒径为69.8 - 86.9纳米。采用分批吸附法在不同条件下评估了这种纳米复合材料用于去除农药污染物的潜力。在pH值为3.0时,观察到的马拉硫磷最高去除率为97.42%,DDT为94.83%。这些结果表明,N-Bent-NAlO-NZnO对马拉硫磷的总体去除效率明显高于DDT。朗缪尔模型显示,马拉硫磷和DDT的相关系数分别为0.997和0.991。此外,伪二级模型显示马拉硫磷和DDT的相关系数分别为0.997和0.995,表明这些是最合适的等温线和动力学模型。根据朗缪尔模型,马拉硫磷和DDT的最大去除容量分别为34.20毫克/克和28.36毫克/克。此外,经过五次重复吸附 - 解吸循环后,N-Bent-NAlO-NZnO去除马拉硫磷和DDT的效率分别达到84.63%和81.76%。这些结果表明,N-Bent-NAlO-NZnO可作为一种可行且有效的纳米复合材料用于处理农业活动产生的废水。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35cc/12057730/4c43cd5f967f/d5ra00683j-f1.jpg

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