Ontario Ministry of the Environment, Conservation and Parks, Toronto, Ontario, M9P 3V6, Canada.
Ontario Ministry of the Environment, Conservation and Parks, Toronto, Ontario, M9P 3V6, Canada.
Anal Chim Acta. 2020 Mar 1;1100:107-117. doi: 10.1016/j.aca.2019.12.005. Epub 2019 Dec 3.
Microplastics are ubiquitous in the aquatic and terrestrial environment. To prevent further contamination, methods to determine their sources are needed. Techniques to quantify and characterize microplastics in the environment are still evolving for polymers and the additives and leachable substances embedded therein, which constitute the "chemical fingerprint" of an environmental microplastic. There is a critical need for analytical methods that yield such diagnostic information on environmental microplastics that enables identification of their composition and sources of pollution. This study reports on a novel approach for rapid fingerprinting of environmental microplastics and the screening of additives using Direct Analysis in Real Time (DART)-high resolution mass spectrometry. A variety of plastic samples were investigated, including virgin pre-production pellets, microbeads from personal care products, microplastics found in the aquatic environment, and synthetic fibers. The resulting mass spectra display ∼10,000 discrete peaks, corresponding to plastic additives released by thermal desorption and polymer degradation products generated by pyrolysis. These were used to characterize differences among plastic types, microplastic source materials, and environmental samples. Multivariate statistics and elemental composition analysis approaches were applied to analyze fingerprints from the mass spectra. This promising analytical approach is sensitive, (potentially) high-throughput, and can aid in the elucidation of possible sources of microplastics and perhaps eventually to the analysis of bulk environmental samples for plastics.
微塑料在水和陆地环境中无处不在。为了防止进一步的污染,需要确定其来源的方法。用于聚合物及其内含的添加剂和可浸出物质的量化和表征微塑料的技术仍在不断发展,这些物质构成了环境微塑料的“化学特征指纹”。迫切需要能够提供有关环境微塑料的这种诊断信息的分析方法,从而能够识别其组成和污染来源。本研究报告了一种使用实时直接分析(DART)-高分辨率质谱法快速对环境微塑料进行指纹识别和添加剂筛选的新方法。研究了各种塑料样品,包括原始预生产颗粒、个人护理产品中的微珠、水环境污染中的微塑料以及合成纤维。所得质谱显示约 10000 个离散峰,对应于热解吸释放的塑料添加剂和热解产生的聚合物降解产物。这些被用于表征不同塑料类型、微塑料源材料和环境样品之间的差异。应用多元统计和元素组成分析方法对来自质谱的指纹进行分析。这种很有前途的分析方法具有灵敏度高(潜在)高通量的特点,有助于阐明微塑料的可能来源,或许最终有助于对环境样品中的塑料进行分析。