微塑料识别方法研究热点与趋势的文献计量分析
Bibliometric Analysis of Research Hotspots and Trends in Microplastic Identification Methods
摘要: 微塑料作为一种新兴环境污染物，其精准识别对开展风险评估与实施污染防控具有重要意义。文章基于文献计量学方法，整合Web of Science与中国知网数据库截至2024年底的学术文献数据，结合可视化工具VOSviewer以系统分析微塑料识别技术的研究进展。结果表明，自2019年起该领域年度发文量呈现显著上升趋势，研究热点主要集中于拉曼光谱技术优化与机器学习算法在检测中的应用。中国在科研产出规模和国际合作活跃度方面位居全球前列。关键词共现分析揭示，当前研究重点聚焦于高灵敏度检测方法、复杂基质中的定量分析能力提升以及多技术融合路径探索。未来研究需着力突破纳米级塑料颗粒的识别技术瓶颈，推动跨学科协同创新，并加快检测技术的标准化进程。
Abstract: As an emerging contaminant, microplastics necessitate precise identification to support robust risk assessment and effective pollution control. This study adopts bibliometric methods to integrate academic literature from the Web of Science and CNKI databases up to the end of 2024, employing the visualization tool VOSviewer to systematically analyze the research progress in microplastic identification technologies. Results indicate a significant increase in annual publication output since 2019, reflecting growing scholarly attention. Research has primarily focused on optimizing Raman spectroscopy techniques and applying machine learning algorithms in detection processes. China ranks among the leading countries globally in terms of research output and international collaboration. Keyword co-occurrence analysis reveals that current research priorities include high-sensitivity detection methods, enhanced quantitative analysis in complex matrices, and the integration of multiple technological approaches. Future efforts should prioritize overcoming technical challenges in identifying nanoscale plastic particles, promoting interdisciplinary collaboration, and advancing the standardization of detection methodologies.
文章引用：芦珂毅, 李扬, 陈旭东, 张世龙, 张蕾, 窦艳艳, 吕晶晶, 秦肖风. 微塑料识别方法研究热点与趋势的文献计量分析[J]. 环境保护前沿, 2025, 15(12): 1619-1630. https://doi.org/10.12677/aep.2025.1512175

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