Chemical Sciences Division, National Institute of Standards and Technology, Waimanalo, HI, 96795, USA.
Center for Marine Debris Research, Hawaii Pacific University, Waimanalo, HI, 96795, USA.
Anal Bioanal Chem. 2023 Jun;415(15):2873-2890. doi: 10.1007/s00216-023-04671-1. Epub 2023 Apr 10.
There is growing concern from scientists, policy makers, and the public about the contamination of natural and indoor environments with plastics, particularly micro/nanoplastics. Typically, characterizing microplastics in environmental samples requires extensive sample processing to isolate particles, followed by spectroscopic methodologies to identify particle polymer composition. Spectroscopic techniques are limited in their ability to provide polymer mass or advanced chemical composition (e.g., chemical additive content), which are important for toxicological assessments. To achieve mass fraction quantification and chemical characterization of plastics in environmental samples, many researchers have turned to thermoanalytical spectrometric approaches, particularly pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS). Sample preparation for Py-GC/MS may be approached similarly to techniques needed for spectroscopic approaches (e.g., isolate particles on a filter), employ pressurized solvent extraction, or use ultrafiltration techniques to concentrate nanoplastics. Great strides have been made in using calibration curves to quantify plastics in complex matrices. However, the approaches to the pyrolysis thermal program, as well as calibrant and sample preparation, are inconsistent, requiring refinement and harmonization. This review provides a critical synthesis of previous Py-GC/MS work and highlights opportunities for novel and improved Py-GC/MS analysis of plastics in the future.
科学家、政策制定者和公众越来越关注自然环境和室内环境受到塑料(尤其是微/纳米塑料)污染的问题。通常,要对环境样本中的微塑料进行特征描述,需要进行大量的样品处理来分离颗粒,然后使用光谱方法来识别颗粒的聚合物组成。光谱技术在提供聚合物质量或高级化学成分(例如,化学添加剂含量)方面的能力有限,而这些信息对于毒理学评估很重要。为了实现环境样品中塑料的质量分数定量和化学特征描述,许多研究人员转向热分析光谱方法,特别是热解气相色谱/质谱法(Py-GC/MS)。Py-GC/MS 的样品制备可以类似于光谱方法所需的技术(例如,在过滤器上分离颗粒),采用加压溶剂萃取,或使用超滤技术浓缩纳米塑料。在使用校准曲线对复杂基质中的塑料进行定量方面已经取得了很大进展。然而,热解热程序、校准标准品和样品制备的方法并不一致,需要进一步改进和协调。本综述对以前的 Py-GC/MS 工作进行了批判性综合,并强调了未来用于塑料的新型和改进的 Py-GC/MS 分析的机会。