Environ Sci Technol. 2019 Oct 15;53(20):11877-11887. doi: 10.1021/acs.est.9b05262. Epub 2019 Oct 1.
Microfibers, characterized as small fibers shed from textiles that are less than 5 mm in size, are a prominent contaminant in the environment. Thus, it is important that we have methods to accurately quantify and characterize them, including in water, sediment, wildlife, seafood, and drinking water samples. Unfortunately, their small size and the presence of different dyes on the microfibers themselves cause difficulties in identification via conventional spectroscopic methods of total attenuated resonance-Fourier transform infrared and Raman. To help solve some of these methodological challenges, we developed a new method employing polymer-dye binding chemistry, density tests, unique surface morphological traits, and fluorescent staining to identify microfibers in environmental samples. The identification method introduced here was tested in our laboratory via trials using microfibers shed from new textiles and environmental samples. We found that the method can be successfully applied to identify the different polymer types of microfibers, which can ultimately help source apportion microfiber contamination in the environment.
微纤维是指从尺寸小于 5 毫米的纺织品上脱落的小纤维,是环境中一种突出的污染物。因此,我们有必要开发准确的定量和表征方法,包括在水、沉积物、野生动物、海鲜和饮用水样本中。不幸的是,由于其尺寸小以及微纤维本身存在不同的染料,这给传统的全衰减共振傅里叶变换红外和拉曼光谱学方法的识别带来了困难。为了帮助解决这些方法学挑战,我们开发了一种新方法,该方法利用聚合物-染料结合化学、密度测试、独特的表面形态特征和荧光染色来识别环境样本中的微纤维。本文介绍的鉴定方法在实验室中通过使用新纺织品和环境样本中脱落的微纤维进行了试验。我们发现该方法可以成功地应用于识别不同聚合物类型的微纤维,这最终有助于对环境中微纤维污染的来源进行解析。