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| 环境中微塑料检测分析方法研究进展 |
| Research Progress on Detection Methods for Microplastics in the Environment |
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| DOI： |
| 中文关键词: 微塑料 检测方法 物理表征 化学分析 环境污染 |
| 英文关键词: Microplastics Detection method Physical characterization Chemical analysis Environmental pollution |
| 基金项目:国家自然科学基金资助项目（62005045，81771883，81801746，61975030）；广东省基础与应用基础研究基金资助项目（2019A1515010805，2021A1515011981）；广东省教育厅科研基金资助项目（2022ZDZX2055，2020KTSCX130）；广东省“珠江人才计划”引进创新创业团队基金资助项目（2019ZT08Y105）；粤港澳智能微纳光电技术联合实验室基金资助项目（2020B1212030010） |
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| 中文摘要: |
| 概述了目前较为常见的微塑料检测方法，包括目检法、光谱分析法和热分析法，归纳分析了各种方法的技术进展、研究成果及优缺点，指出微塑料形状、大小、聚合物种类等方面的定性、定量分析尤为重要，能够为微塑料污染防治、溯源和影响评估提供依据。通过对现有方法的调研总结，提出多种检测分析方法联用将成为研究微塑料的发展方向，未来仍需要改进现有技术或者开发新的检测方法，结合图像处理、深度学习、计算机视觉等手段，缩短识别时间，提高检测精度，进而为微塑料污染防治工程提供技术支撑。 |
| 英文摘要: |
| Common microplastics detection methods， including visual inspection， spectral analysis and thermal analysis were summarized， the technical progress， research achievements， advantages and disadvantages of various methods were analyzed. It was pointed out that the qualitative and quantitative analysis of the shape， size and polymer types of microplastics were particularly important， which could provide a basis for the prevention and control of microplastic pollution， traceability and impact assessment. Through the research and summary of existing methods， it was proposed that the combination of multiple detection methods would become the development direction of microplastics research. In the future， it was still necessary to improve existing technologies or develop new detection methods， combine 〖GK!86mm〗image processing， deep learning， computer vision and other means to reduce recognition time and improve detection accuracy， and then provide technical support for microplastic pollution prevention and control projects. |
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