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Updated: Jul 25, 2025

Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis

Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis

Published on: December 16, 2016

开发和测试一种工作流程,以使用近红外高光谱成像识别微塑料.

Andrea Faltynkova¹, Martin Wagner¹

¹Department of Biology, Norwegian University of Science and Technology, Høgskoleringen 5, 7491 Trondheim, Norway.

|June 24, 2023

概括

近红外高光谱成像 (NIR-HSI) 快速识别出常见的微塑料 (MP). 该方法精确检测较大的塑料颗粒,不受光氧化的影响,有助于污染监测.

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科学领域:

环境科学环境科学
分析化学分析化学
材料科学材料科学材料科学

背景情况:

微塑料 (MP) 分析对于了解塑料污染至关重要,但往往耗时.
与其他光谱方法相比,近红外高光谱成像 (NIR-HSI) 提供了快速的大面积分析.
现有的障碍包括缺乏开放的数据库和用于MP检测的标准化分析管道.

研究的目的:

开发和验证使用NIR-HSI识别微塑料的光谱数据库.
评估NIR-HSI用于检测和量化微塑料的准确性和局限性.
评估光氧化对微塑料的检测和分类的影响.

主要方法:

使用Hyspex SWIR-320me成像仪创建了一个光谱数据库,包括生产前颗粒,消费品和海洋垃圾.
开发了一个SIMCA模型来识别四种聚合物类型:聚烯 (PP),聚乙烯 (PE),聚乙烯二甲 (PET) 和聚烯 (PS).
用光显微镜确定PS MP大小估计的准确性;对PE,PP,PS和PET测试了光氧化的影响.

主要成果:

在识别四种聚合物类型时,SIMCA模型实现了高精度 (>88%的内部验证,>80%的外部验证).
NIR-HSI始终检测到PS MP>1000微米,具有准确的尺寸估计,但在颗粒<500微米时遇到了困难.
光氧化并没有显著改变光谱或降低模型精度,尽管回忆在不同类型的聚合物和氧化阶段有所不同.

结论:

NIR-HSI是一种快速而准确的方法,用于识别四种最常见的微塑性聚合物类型.
该技术克服了单颗粒分析的局限性,使有效的环境监测成为可能.
在环境监测中,NIR-HSI是快速大规模评估塑料垃圾的宝贵工具.

关键词:

化学测量化学测量化学测量里埃变换红外光谱法红外光谱法成像光谱学是一种成像光谱学.巨型塑料是一种巨型塑料.方法开发方法的开发方法.拉曼光谱法拉曼光谱法气候变化气候变化

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