全球塑料生物降解有机废物酶研究的文献计量学分析:趋势、微生物作用和过程优化

Muhammad Nizar , Syaifuddin Yana , Bahagia , Erdiwansyah , Rizalman Mamat , Vera Viena
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引用次数: 0

摘要

对环境可持续的废物管理的日益需要增加了对酶基有机废物处理的兴趣。本研究旨在利用文献计量学方法全面分析有机废物酶的全球研究趋势。文献数据检索自Scopus、Web of Science和谷歌Scholar,涵盖2000 - 2023年的出版物。根据预定义的纳入和排除标准选择了234篇同行评议的文章。使用VOSviewer和Bibliometrix (R软件包)进行分析,以确定关键词共现模式、时间出版趋势和国际合作网络。结果显示,2020年之后,研究产出将显著增加,主要主题包括塑料生物降解、微生物酶应用和酶促过程优化。关键词退化的出现次数最高(37次),总链接强度最高(74次),而review是最具影响力的术语,出现次数为46次,总链接强度为95次。新兴的研究领域,如生态酶(234次,平均年2022.3次)、蔬菜废物和废水,反映了社区规模和环境友好应用的日益相关性。可视化结果突出了该领域的跨学科性质,将生物技术、环境工程和废物政策联系起来。本研究承认其局限性,包括对英文出版物的依赖,潜在的数据库覆盖偏差,以及文献计量学方法无法评估个别研究的定性深度。尽管如此,研究结果通过确定酶的稳定性、可扩展性以及与新兴技术和监管框架的集成方面的差距,为未来的研究提供了数据驱动的路线图。这些见解有望支持研究人员和政策制定者推进基于酶的可持续有机废物管理解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bibliometric analysis of global research on organic waste enzymes for plastic biodegradation: Trends, microbial roles, and process optimization
The increasing need for environmentally sustainable waste management has increased interest in enzyme-based organic waste treatment. This study aims to comprehensively analyse global research trends on organic waste enzymes using a bibliometric approach. Bibliographic data were retrieved from Scopus, Web of Science, and Google Scholar, covering publications from 2000 to 2023. 234 peer-reviewed articles were selected based on predefined inclusion and exclusion criteria. Analysis was performed using VOSviewer and Bibliometrix (R package) to identify keyword co-occurrence patterns, temporal publication trends, and international collaboration networks. The results reveal a significant rise in research output after 2020, with dominant themes including plastic biodegradation, microbial enzyme applications, and optimization of enzymatic processes. The keyword degradation had the highest occurrence (37) and total link strength (74), while review emerged as the most influential term with 46 occurrences and a total link strength of 95. Emerging research areas such as eco enzyme (234 occurrences, average year 2022.3), vegetable waste, and wastewater reflect the increasing relevance of community-scale and environmentally friendly applications. Visualization results highlight the interdisciplinary nature of this field, linking biotechnology, environmental engineering, and waste policy. This study acknowledges limitations, including dependence on English-language publications, potential database coverage bias, and the inability of bibliometric methods to assess the qualitative depth of individual studies. Despite these, the findings provide a data-driven roadmap for future research by identifying gaps in enzyme stability, scalability, and integration with emerging technologies and regulatory frameworks. The insights are expected to support researchers and policymakers in advancing enzyme-based solutions for sustainable organic waste management.
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