Identification of Marine Plastics using Raman Spectroscopy

E. M. H. Dahl, Andreas Ø. R. Stien, A. Sørensen, E. Davies
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引用次数: 2

Abstract

Plastics have permeated almost every aspect of modern day life with its wide applicability. The tragic consequence is millions of pieces of plastic polluting and harming sea life every day. The road towards a clean sea contains several legs and requires mapping of the ocean water column to determine critical areas. Determining technologies and methods for the detection of microplastics underwater are hence a necessity. Raman spectroscopy is such a technology, in principle able to extract the chemical structure of the object to be viewed by collecting spectral signatures at the point illuminated. This creates the foundation for the research presented in this paper, aiming to cover whether it is possible to classify specific types of microplastics underwater by identifying their respective spectral signatures. Raman spectroscopy has been carried out on three different cases of samples. The first case involves known plastic, ordered from CARAT AS, with the purpose of creating the foundation of a partial least squares discriminant analysis (PLS-DA) model. The second case holds the same base but includes drops of water on top of the original sample. This case provided data for testing the prediction of the PLS-DA model. The third case includes raw plastic pieces, collected from the sea outside Svolvær, Lofoten. The measurements of these samples create the grounds for the last test-set. The results suggest that the method can classify microplastic correctly, both in water and sea-influenced pieces. However, the specific spectra cannot vary too much as a result of industrial and environmental changes altering the condition of the plastic, and thereby the spectrum. This leaves the mapping and classification method best suited for plastics that recently entered the ocean.
利用拉曼光谱技术鉴别海洋塑料
塑料以其广泛的适用性几乎渗透到现代生活的方方面面。悲惨的后果是,每天都有数百万块塑料污染和危害海洋生物。通往清洁海洋的道路包括几段,需要绘制海洋水柱图以确定关键区域。因此,确定水下微塑料检测的技术和方法是必要的。拉曼光谱就是这样一种技术,原则上能够通过收集被照射点的光谱特征来提取被观察物体的化学结构。这为本文提出的研究奠定了基础,旨在探讨是否有可能通过识别各自的光谱特征来对水下特定类型的微塑料进行分类。对三种不同的样品进行了拉曼光谱分析。第一个案例涉及从CARAT AS订购的已知塑料,目的是创建偏最小二乘判别分析(PLS-DA)模型的基础。第二种情况下保持相同的基础,但包括水滴在原始样品的顶部。本病例为PLS-DA模型的预测提供了验证数据。第三个病例包括从罗弗敦Svolvær以外的海域收集的原塑料碎片。这些样本的测量为最后一个测试集创建了基础。结果表明,该方法可以正确地对受水和海洋影响的碎片进行微塑料分类。然而,由于工业和环境变化改变了塑料的状况,从而改变了光谱,特定光谱不能变化太大。这使得测绘和分类方法最适合于最近进入海洋的塑料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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