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金属有机框架在生物医学应用中的文献计量学与可视化分析

Bibliometric and visualized analysis of metal-organic frameworks in biomedical application.

作者信息

Yu Sanyang, Xu Kaihao, Wang Zhenhua, Zhang Zhichang, Zhang Zhongti

机构信息

The VIP Department, School and Hospital of Stomatology, China Medical University, Shenyang, China.

Department of Physiology, School of Life Sciences, China Medical University, Shenyang, China.

出版信息

Front Bioeng Biotechnol. 2023 May 10;11:1190654. doi: 10.3389/fbioe.2023.1190654. eCollection 2023.

DOI:10.3389/fbioe.2023.1190654
PMID:37234479
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10206306/
Abstract

Metal-organic frameworks (MOFs) are hybrid materials composed of metal ions or clusters and organic ligands that spontaneously assemble via coordination bonds to create intramolecular pores, which have recently been widely used in biomedicine due to their porosity, structural, and functional diversity. They are used in biomedical applications, including biosensing, drug delivery, bioimaging, and antimicrobial activities. Our study aims to provide scholars with a comprehensive overview of the research situations, trends, and hotspots in biomedical applications of MOFs through a bibliometric analysis of publications from 2002 to 2022. On 19 January 2023, the Web of Science Core Collection was searched to review and analyze MOFs applications in the biomedical field. A total of 3,408 studies published between 2002 and 2022 were retrieved and examined, with information such as publication year, country/region, institution, author, journal, references, and keywords. Research hotspots were extracted and analyzed using the Bibliometrix R-package, VOSviewer, and CiteSpace. We showed that researchers from 72 countries published articles on MOFs in biomedical applications, with China producing the most publications. The Chinese Academy of Science was the most prolific contributor to these publications among 2,209 institutions that made contributions. Reference co-citation analysis classifies references into 8 clusters: synergistic cancer therapy, efficient photodynamic therapy, metal-organic framework encapsulation, selective fluorescence, luminescent probes, drug delivery, enhanced photodynamic therapy, and metal-organic framework-based nanozymes. Keyword co-occurrence analysis divided keywords into 6 clusters: biosensors, photodynamic therapy, drug delivery, cancer therapy and bioimaging, nanoparticles, and antibacterial applications. Research frontier keywords were represented by chemodynamic therapy (2020-2022) and hydrogen peroxide (2020-2022). Using bibliometric methods and manual review, this review provides a systematic overview of research on MOFs in biomedical applications, filling an existing gap. The burst keyword analysis revealed that chemodynamic therapy and hydrogen peroxide are the prominent research frontiers and hot spots. MOFs can catalyze Fenton or Fenton-like reactions to generate hydroxyl radicals, making them promising materials for chemodynamic therapy. MOF-based biosensors can detect hydrogen peroxide in various biological samples for diagnosing diseases. MOFs have a wide range of research prospects for biomedical applications.

摘要

金属有机框架材料(MOFs)是由金属离子或簇与有机配体组成的杂化材料,它们通过配位键自发组装形成分子内孔隙,由于其孔隙率、结构和功能的多样性,近年来在生物医学领域得到了广泛应用。它们被用于生物医学应用,包括生物传感、药物递送、生物成像和抗菌活性。我们的研究旨在通过对2002年至2022年发表的文献进行文献计量分析,为学者们提供MOFs在生物医学应用中的研究情况、趋势和热点的全面概述。2023年1月19日,我们在科学网核心合集中进行搜索,以回顾和分析MOFs在生物医学领域的应用。共检索并审查了2002年至2022年发表的3408项研究,获取了诸如出版年份、国家/地区、机构、作者、期刊、参考文献和关键词等信息。使用Bibliometrix R包、VOSviewer和CiteSpace提取并分析了研究热点。我们发现,来自72个国家的研究人员发表了关于MOFs在生物医学应用方面的文章,其中中国发表的文章最多。在做出贡献的2209个机构中,中国科学院是这些出版物的最大贡献者。参考文献共被引分析将参考文献分为8个聚类:协同癌症治疗、高效光动力治疗、金属有机框架封装、选择性荧光、发光探针、药物递送、增强光动力治疗和基于金属有机框架的纳米酶。关键词共现分析将关键词分为6个聚类:生物传感器、光动力治疗、药物递送、癌症治疗与生物成像、纳米颗粒和抗菌应用。研究前沿关键词为化学动力疗法(2020 - 2022年)和过氧化氢(2020 - 2022年)。通过文献计量方法和人工审查,本综述提供了MOFs在生物医学应用研究的系统概述,填补了现有空白。突发关键词分析表明,化学动力疗法和过氧化氢是突出的研究前沿和热点。MOFs可以催化芬顿或类芬顿反应生成羟基自由基,使其成为化学动力疗法的有前景材料。基于MOF的生物传感器可以检测各种生物样品中的过氧化氢以诊断疾病。MOFs在生物医学应用方面具有广泛的研究前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5615/10206306/ad3e88534cc4/fbioe-11-1190654-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5615/10206306/f4f133fda04b/fbioe-11-1190654-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5615/10206306/ad3e88534cc4/fbioe-11-1190654-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5615/10206306/0f91b37134ea/fbioe-11-1190654-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5615/10206306/d7f864958692/fbioe-11-1190654-g006.jpg
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