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对铀去除的最新进展和未来趋势进行统计和可视化分析。

Statistically and visually analyzing the latest advancements and future trends of uranium removal.

机构信息

School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, China.

School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, China.

出版信息

Environ Res. 2023 Dec 15;239(Pt 1):117280. doi: 10.1016/j.envres.2023.117280. Epub 2023 Oct 2.

DOI:10.1016/j.envres.2023.117280
PMID:37793586
Abstract

Uranium contamination and remediation is a very important environmental research area. Removing radioactive and toxic uranium from contaminated media requires fundamental knowledge of targets and materials. To explore the-State-of-the-Art in uranium contamination control, we employed a statistical tool called CiteSpace to visualize and statistically analyze 4203 peer-reviewed papers on uranium treatment published between 2008 and 2022. The primary content presentations of visual analysis were co-authorships, co-citations, keyword co-occurrence analysis with cluster analysis, which could offer purposeful information of research hots and trends in the field of uranium removal. The statistical analysis results indicated that studies on uranium removal have focused on adsorption of uranium from aqueous solution. From 2008 to 2022, biochar and biological treatment were firstly used to sequester uranium, then adsorption for uranium removal dominates with adsorbents of graphene oxide, primary nanofiber magnetic polymers and metal-organic frameworks (MOFs). In recent years, photocatalysts and metal-organic frameworks are expected to be two of the most popular research topics. In addition, we further highlighted the characteristics and applications of MOFs and GOs in uranium removal. Overall, a statistical review was proposed to visualize and summarize the knowledge and research trends regarding uranium treatment.

摘要

铀污染与修复是一个非常重要的环境研究领域。要从污染介质中去除放射性和有毒的铀,需要对目标物和材料有基本的了解。为了探索铀污染控制的最新技术,我们使用了一种名为 CiteSpace 的统计工具,对 2008 年至 2022 年间发表的 4203 篇关于铀处理的同行评议论文进行了可视化和统计分析。可视化分析的主要内容介绍包括合著、共引、关键词共现分析与聚类分析,这些可以提供铀去除领域的研究热点和趋势的有针对性的信息。统计分析结果表明,铀去除的研究主要集中在从水溶液中吸附铀。从 2008 年到 2022 年,生物炭和生物处理首先被用于固定铀,然后吸附剂的吸附作用主导了铀的去除,吸附剂包括氧化石墨烯、初级纳米纤维磁性聚合物和金属-有机骨架(MOFs)。近年来,光催化剂和金属-有机骨架有望成为两个最热门的研究课题。此外,我们进一步强调了 MOFs 和 GOs 在铀去除方面的特点和应用。总的来说,提出了一个统计综述,以可视化和总结有关铀处理的知识和研究趋势。

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