Asamoah Benjamin O, Salmi Pauliina, Räty Jukka, Ryymin Kalle, Talvitie Julia, Karjalainen Anna K, Kukkonen Jussi V K, Roussey Matthieu, Peiponen Kai-Erik
Department of Physics and Mathematics, University of Eastern Finland, P.O. Box 111, FI-80101 Joensuu, Finland.
Faculty of Information Technology, University of Jyväskylä, Mattilanniemi 2 (Agora building), P.O. Box 35, FI-40014 Jyväskylä, Finland.
Polymers (Basel). 2021 Mar 11;13(6):871. doi: 10.3390/polym13060871.
The abundance of microplastics (MPs) in the atmosphere, on land, and especially in water bodies is well acknowledged. In this study, we establish an optical method based on three different techniques, namely, specular reflection to probe the medium, transmission spectroscopy measurements for the detection and identification, and a speckle pattern for monitoring the sedimentation of MPs filtrated from wastewater sludge and suspended in ethanol. We used first Raman measurements to estimate the presence and types of different MPs in wastewater sludge samples. We also used microscopy to identify the shapes of the main MPs. This allowed us to create a teaching set of samples to be characterized with our optical method. With the developed method, we clearly show that MPs from common plastics, such as polypropylene (PP), polyethylene terephthalate (PET), polystyrene (PS), and polyethylene (PE), are present in wastewater sludge and can be identified. Additionally, the results also indicate that the density of the plastics, which influences the sedimentation, is an essential parameter to consider in optical detection of microplastics in complex natural environments. All of the methods are in good agreement, thus validating the optics-based solution.
大气、陆地尤其是水体中微塑料(MPs)的大量存在已得到广泛认可。在本研究中,我们基于三种不同技术建立了一种光学方法,即用于探测介质的镜面反射、用于检测和识别的透射光谱测量,以及用于监测从废水污泥中过滤并悬浮在乙醇中的微塑料沉降的散斑图案。我们首先使用拉曼测量来估计废水污泥样品中不同微塑料的存在和类型。我们还使用显微镜来识别主要微塑料的形状。这使我们能够创建一组要用我们的光学方法进行表征的样品教学集。通过所开发的方法,我们清楚地表明,废水污泥中存在来自常见塑料的微塑料,如聚丙烯(PP)、聚对苯二甲酸乙二酯(PET)、聚苯乙烯(PS)和聚乙烯(PE),并且可以被识别。此外,结果还表明,影响沉降的塑料密度是在复杂自然环境中光学检测微塑料时需要考虑的一个重要参数。所有方法都高度一致,从而验证了基于光学的解决方案。