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首页> 外文期刊>Analytical and bioanalytical chemistry >Comparison of mu-ATR-FTIR spectroscopy and py-GCMS as identification tools for microplastic particles and fibers isolated from river sediments
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Comparison of mu-ATR-FTIR spectroscopy and py-GCMS as identification tools for microplastic particles and fibers isolated from river sediments

机译:MU-ATR-FTIR光谱与PY-GCMS作为河流沉积物中分离的微压颗粒和纤维的识别工具

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摘要

In recent years, many studies on the analysis of microplastics (MP) in environmental samples have been published. These studies are hardly comparable due to different sampling, sample preparation, as well as identification and quantification techniques. Here, MP identification is one of the crucial pitfalls. Visual identification approaches using morphological criteria alone often lead to significant errors, being especially true for MP fibers. Reliable, chemical structure-based identification methods are indispensable. In this context, the frequently used vibrational spectroscopic techniques but also thermoanalytical methods are established. However, no critical comparison of these fundamentally different approaches has ever been carried out with regard to analyzing MP in environmental samples. In this blind study, we investigated 27 single MP particles and fibers of unknown material isolated from river sediments. Successively micro-attenuated total reflection Fourier transform infrared spectroscopy (mu-ATR-FTIR) and pyrolysis gas chromatography-mass spectrometry (py-GCMS) in combination with thermochemolysis were applied. Both methods differentiated between plastic vs. non-plastic in the same way in 26 cases, with 19 particles and fibers (22 after re-evaluation) identified as the same polymer type. To illustrate the different approaches and emphasize the complementarity of their information content, we exemplarily provide a detailed comparison of four particles and three fibers and a critical discussion of advantages and disadvantages of both methods.
机译:近年来,许多关于在环境样本中分析微塑料(MP)的研究已经发表。由于不同的取样,样品制备以及识别和定量技术,这些研究几乎没有比较。在这里,MP识别是关键缺陷之一。仅使用形态标准的视觉识别方法经常导致显着的错误,对于MP纤维尤其如此。可靠,基于化学结构的鉴定方法是必不可少的。在这种情况下,建立了经常使用的振动光谱技术,但也是热分析方法。然而,对于在环境样本中分析MP,曾未对这些从根本不同的方法进行关键比较。在这项盲目研究中,我们研究了从河流沉积物中分离的未知材料的27个单MP颗粒和纤维。施加连续微衰减的总反射傅里叶变换红外光谱(MU-ATR-FTIR)和热解气相色谱 - 质谱(PY-GCMS)与热化学溶解组合。两种方法在26例中以相同的方式在塑料与非塑料之间分化,其中19例颗粒和纤维(再评估后22)鉴定为相同的聚合物类型。为了说明不同的方法并强调其信息内容的互补性,示例性地提供了四种颗粒和三根纤维的详细比较以及两种方法的优缺点的关键讨论。

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