表没食子儿茶素没食子酸酯（EGCG）研究的文献计量分析

doi:10.13305/j.cnki.jts.20220416.002

摘要/Abstract

摘要： 茶叶中的EGCG在治疗癌症、细菌和病毒感染等疾病中显示出较高的生物活性。为探索EGCG的相关研究进展及近期研究重点,以“EGCG”及“Epigallocatechin gallate”为主题词,在ISI Web of Science数据库核心合集搜索2000—2021年的相关文献共6 799篇,采用CiteSpace可视化软件进行引文分析,通过合作、共现、共被引等网络分析,研究EGCG的研究重点和前沿趋势。根据发文量统计分析发现,中国、美国和日本在该领域发文量排名前三位,而中介中心性指标分析表明美国、德国和中国文献重要性位列前三。引文分析的关键词突发性检测发现,“纳米粒子（Nanoparticle）”“稳定性（Stability）”是近几年的研究重点。随着对EGCG研究层次的不断深入,未来研究可能会集中于提高EGCG生物利用度,探究最适剂量水平及给药频率等方面。

关键词: EGCG, CiteSpace, 可视化分析, 网络分析

Abstract: The epigallocatechin gallate (EGCG) has shown the highest biological activity in tea components in most studies, which has shown beneficial effects on anti-cancer, bacterial and viral infections. A review of the advances and hot spots of EGCG studies were summarized through citation analysis. In order to ensure that the review is objective and scientific, literature analysis was performed from the core collection of the data base of ISI Web of Science of the period of 2000-2021 with the key words “EGCG” and “Epigallocatechin gallate”. A total of 6 799 relevant papers were obtained. Then, the CiteSpace visualization software was used for citation analysis and the research hotspots and frontier trends were studied through network analysis including cooperation, co-occurrence and co-citation. Statistical analysis of volume of the publications shows that China, United States and Japan ranked the top three in this field. Analysis of betweenness central indicators shows that United States, Germany and China were the top three in terms of importance. Further citation analysis shows that “nanoparticle”, and “stability” were the hotspots in the recent years. With the deepening of the research on EGCG, it was speculated that the future research would focus on improving the bioavailability of EGCG and exploring the optimal dose level and administration frequency.

Key words: EGCG, CiteSpace, visual analysis, network

中图分类号:

S571.1

张旖旎, 吉铮. 表没食子儿茶素没食子酸酯（EGCG）研究的文献计量分析[J]. 茶叶科学, 2022, 42(3): 423-434. doi: 10.13305/j.cnki.jts.20220416.002.

ZHANG Yini, JI Zheng. Econometric Analyses of EGCG Research Literature[J]. Journal of Tea Science, 2022, 42(3): 423-434. doi: 10.13305/j.cnki.jts.20220416.002.

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