This study aims to develop an efficient method for monitoring microplastic pollution in water bodies.By integrating advanced technologies and analytical methods,an efficient and accurate system for detecting microplastic particles was established.The method includes steps such as sample collection,particle extraction and enrichment,characterization,and identification,with optimized instrument parameters.A classification model based on machine learning algorithms was developed to achieve rapid and reliable monitoring of microplastic pollution.Validation results demonstrated that the method exhibits high sensitivity,selectivity and stability,with excellent performance in microplastic particle identification and monitoring.
关键词
水体微塑料污染/检测方法/监控/先进技术/机器学习
Key words
microplastic pollution in water/detection method/monitoring/advanced technologies/machine learning
维普
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