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基于碳的层状双氢氧化物在水和废水处理中的评估:人工智能的应用和最新进展。

Assessment in carbon-based layered double hydroxides for water and wastewater: Application of artificial intelligence and recent progress.

机构信息

Hebei Agricultural University, BaoDing, Hebei, 071000, China; China Institute of Water Resources and Hydropower Research, BeiJing, 100038, China.

Hebei Agricultural University, BaoDing, Hebei, 071000, China; Key Laboratory of Hydraulic and Waterway Engineering of the Ministry of Education, Chongqing Jiaotong University, Chongqing, 400074, China.

出版信息

Chemosphere. 2022 Dec;308(Pt 3):136303. doi: 10.1016/j.chemosphere.2022.136303. Epub 2022 Sep 6.

DOI:10.1016/j.chemosphere.2022.136303
PMID:36084828
Abstract

Layered double hydroxides (LDHs) are a class of clays with brucite like layers and intercalated anions. Hybrids of carbon nanomaterials and layered double hydroxides (C-LDHs) are promising nanomaterials due to their versatile properties and the large number of composition/preparation variables available for fine-tuning. Several techniques are available for the synthesis of these novel C-LDHs nanocomposites. This article assess developments in the synthesis and applications of C-LDHs in water and wastewater treatment via using artificial intelligence approaches. In addition, current challenges and possible strategies are discussed from the viewpoint of synthesis and application. It is concluded that the use of C-LDH is expected to produce interesting results. The anisotropic properties and good dispersion ability make them suitable to be used as particulates in the dispersion phase of electro-responsive and electro-rheological fluids. Although these materials have been tested for the removal of contaminants from single component solutions in water. In addition, application of artificial intelligence in this regard is discussed. At the end, the necessity of evaluating their performance in the removal of contaminants from multi-components solutions is proposed. Finally the challenges in obtaining material with precisely controlled particle sizes and morphology must be addressed.

摘要

层状双氢氧化物(LDHs)是一类具有水镁石层状结构和插层阴离子的粘土。碳纳米材料和层状双氢氧化物(C-LDHs)的杂化物是有前途的纳米材料,因为它们具有多种性质,并且有大量的组成/制备变量可用于微调。有几种技术可用于合成这些新型 C-LDHs 纳米复合材料。本文通过人工智能方法评估了 C-LDHs 在水和废水处理中的合成和应用的发展。此外,还从合成和应用的角度讨论了当前的挑战和可能的策略。结论是,预计使用 C-LDH 会产生有趣的结果。各向异性的性质和良好的分散能力使它们适合作为电响应和电流变流体的分散相中的颗粒使用。尽管这些材料已被测试用于从单一组分溶液中去除污染物。此外,还讨论了在这方面应用人工智能。最后,提出了从多组分溶液中去除污染物时评估其性能的必要性。最后,必须解决获得具有精确控制粒径和形态的材料的挑战。

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