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Analysis of microplastics of a broad size range in commercially important mussels by combining FTIR and Raman spectroscopy approaches

机译:通过组合FTIR和拉曼光谱方法分析商业上重要贻贝中的宽尺寸范围的微塑料

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Microplastic (MP) contamination is present in the entire marine environment from the sediment to the water surface and down to the deep sea. This ubiquitous presence of MP particles opens the possibility for their ingestion by nearly all species in the marine ecosystem. Reports have shown that MP particles are present in local commercial seafood species leading to the possible human ingestion of these particles. However, due to a lack of harmonized methods to identify microplastics (MPs), results from different studies and locations can hardly be compared. Hence, this study was aimed to detect, quantify, and estimate MP contamination in commercially important mussels originating from 12 different countries distributed worldwide. All mussels were obtained from supermarkets and were intended for human consumption. Using a combinatorial approach of focal plane array (FPA)-based micro- Fourier-transform infrared (FTIR) spectroscopy and micro-Raman spectroscopy allowed the detection and characterization of MP down to a size of 3 mu m in the investigated mussels. Further, a gentle sample purification method based on enzymes has been modified in order to optimize the digestion of organic material in mussels. A random forest classification (RFC) approach, which allows a rapid discrimination between different polymer types and thus fast generation of data on MP abundance and size distributions with high accuracy, was implemented in the analytical pipeline for IR spectra. Additionally, for the first time we also applied a RFC approach for the automated characterization of Raman spectra of MPs. (C) 2020 Elsevier Ltd. All rights reserved.
机译:微塑料(MP)污染存在于从沉积物到水面和向深海的整个海洋环境中存在。这种普遍存在MP颗粒的存在通过在海洋生态系统中的几乎所有物种中摄取它们的可能性。报告表明,MP颗粒存在于局部商业海产物种中,导致这些颗粒可能的人类摄入。但是,由于缺乏识别微塑料(MPS)的统一方法,几乎​​不能比较不同的研究和位置的结果。因此,本研究旨在检测,量化和估算源自世界各地12个不同国家的商业上重要的贻贝中的MP污染。所有贻贝都是从超市获得的,旨在用于人类消费。使用焦平面阵列(FPA)的组合方法 - 基于微傅里叶变换红外(FTIR)光谱和微拉曼光谱,使MP的检测和表征在研究的贻贝中的3μm的尺寸下降。此外,已经改变了基于酶的温和样品纯化方法,以优化贻贝中有机材料的消化。随机森林分类(RFC)方法,允许在IR光谱的分析管道中实现不同聚合物类型之间的快速辨别,从而快速地产生高精度的MP丰度和尺寸分布。此外,我们首次应用了RFC方法,用于MPS的拉曼光谱的自动表征。 (c)2020 elestvier有限公司保留所有权利。

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