All black: a microplastic extraction combined with colour-based analysis allows identification and characterisation of tire wear particles (TWP) in soils.

Microplastics and nanoplastics Pub Date : 2024-01-01 Epub Date: 2024-10-30 DOI:10.1186/s43591-024-00102-9
Alexandra Foetisch, Adrian Grunder, Benjamin Kuster, Tobias Stalder, Moritz Bigalke
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Abstract

While tire wear particles (TWP) have been estimated to represent more than 90% of the total microplastic (MP) emitted in European countries and may have environmental health effects, only few data about TWP concentrations and characteristics are available today. The lack of data stems from the fact that no standardized, cost efficient or accessible extraction and identification method is available yet. We present a method allowing the extraction of TWP from soil, performing analysis with a conventional optical microscope and a machine learning approach to identify TWP in soil based on their colour. The lowest size of TWP which could be measured reliably with an acceptable recovery using our experimental set-up was 35 µm. Further improvements would be possible given more advanced technical infrastructure (higher optical magnification and image quality). Our method showed a mean recovery of 85% in the 35-2000 µm particle size range and no blank contamination. We tested for possible interference from charcoal (as another black soil component with similar properties) in the soils and found a reduction of the interference from charcoal by 92% during extraction. We applied our method to a highway adjacent soil at 1 m, 2 m, 5 m, and 10 m and detected TWP in all samples with a tendency to higher concentrations at 1 m and 2 m from the road compared to 10 m from the road. The observed TWP concentrations were in the same order of magnitude as what was previously reported in literature in highway adjacent soils. These results demonstrate the potential of the method to provide quantitative data on the occurrence and characteristics of TWP in the environment. The method can be easily implemented in many labs, and help to address our knowledge gap regarding TWP concentrations in soils.

Supplementary information: The online version contains supplementary material available at 10.1186/s43591-024-00102-9.

全黑:微塑料提取与基于颜色的分析相结合,可对土壤中的轮胎磨损颗粒(TWP)进行识别和定性。
据估计,轮胎磨损颗粒(TWP)占欧洲国家排放的微塑料(MP)总量的 90% 以上,可能会对环境健康产生影响,但目前有关轮胎磨损颗粒浓度和特征的数据却很少。数据缺乏的原因在于,目前还没有标准化、经济高效或易于使用的提取和识别方法。我们提出了一种从土壤中提取 TWP 的方法,利用传统光学显微镜和机器学习方法进行分析,根据颜色识别土壤中的 TWP。利用我们的实验装置,可以可靠测量并获得可接受回收率的 TWP 的最小尺寸为 35 微米。如果有更先进的技术基础设施(更高的光学放大率和图像质量),还可以进一步改进。我们的方法显示,在 35-2000 微米粒度范围内,平均回收率为 85%,且无空白污染。我们测试了土壤中木炭(具有类似性质的另一种黑色土壤成分)可能造成的干扰,发现在提取过程中木炭的干扰降低了 92%。我们对公路附近 1 米、2 米、5 米和 10 米处的土壤采用了我们的方法,结果在所有样本中都检测到了 TWP,其中距离公路 1 米和 2 米处的 TWP 浓度高于距离公路 10 米处的浓度。观察到的 TWP 浓度与之前文献报道的公路附近土壤中的 TWP 浓度处于同一数量级。这些结果表明,该方法具有提供有关环境中 TWP 发生和特征的定量数据的潜力。该方法可以在许多实验室轻松实施,并有助于解决我们在土壤中 TWP 浓度方面的知识缺口:在线版本包含补充材料,可查阅 10.1186/s43591-024-00102-9。
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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