Wu Pengfei, Wu Xiaoyi, Huang Qing, Yu Qinwei, Jin Hangbiao, Zhu Minghai
Department of Basic Research, Nanjing University of Finance and Economics Hongshan College, Nanjing, China.
Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu, China.
Front Nutr. 2023 Apr 6;10:1163823. doi: 10.3389/fnut.2023.1163823. eCollection 2023.
Microplastics (MPs) and nanoplastics (NPs) have become emerging contaminants worldwide in food matrices. However, analytical approaches for their determination have yet to be standardized. Therefore, a systematic study is urgently needed to highlight the merits of mass spectrometry (MS) based methods for these applications.
The aim of the study is to review the current status of MS-based multimodal analysis for the determination of MPs in food matrices.
Web of Science and Google Scholar databases were searched and screened until Jan. 2023. Inclusion criteria: "publication years" was set to the last decades, "English" was selected as the "language," and "research area" was set to environmental chemistry, food analysis and polymer science. The keywords were "microplastics," "nanoplastics," "determination," "identification/quantification," and "mass spectrometry."
Traditional spectrometry techniques offer good abilities to conduct the multimodal analysis of MPs in terms of color, shape and other morphologies. However, such technologies have some limitations, in particular the relatively high limits of detection. In contrast, MS-based methods supply excellent supplements. In MS-based methods, gas chromatographic-mass spectrometry (GC-MS), and LC-MS/MS were selected as representative methods for determining MPs in the food matrices, while specialized MS methods (i.e., MALDI-ToF MS and ToF-SIMS) were considered to offer great potential in multimodal analysis of MPs especially when interfaced with the imaging systems.
This study will contribute to gaining a deeper insight into the assessment of the exposure levels of MPs in human body, and may help build a bridge between the monitoring studies and the toxicology field.
微塑料(MPs)和纳米塑料(NPs)已成为全球食品基质中新兴的污染物。然而,用于测定它们的分析方法尚未标准化。因此,迫切需要进行系统研究以突出基于质谱(MS)的方法在这些应用中的优点。
本研究旨在综述基于质谱的多模态分析在测定食品基质中微塑料方面的现状。
检索并筛选了Web of Science和谷歌学术数据库,直至2023年1月。纳入标准:“出版年份”设定为过去几十年,“语言”选择“英语”,“研究领域”设定为环境化学、食品分析和聚合物科学。关键词为“微塑料”、“纳米塑料”、“测定”、“鉴定/定量”和“质谱”。
传统光谱技术在对微塑料的颜色、形状和其他形态进行多模态分析方面具有良好的能力。然而,此类技术存在一些局限性,尤其是检测限相对较高。相比之下,基于质谱的方法提供了出色的补充。在基于质谱的方法中,气相色谱 - 质谱联用(GC - MS)和液相色谱 - 串联质谱(LC - MS/MS)被选为测定食品基质中微塑料的代表性方法,而专门的质谱方法(即基质辅助激光解吸电离飞行时间质谱(MALDI - ToF MS)和飞行时间二次离子质谱(ToF - SIMS))被认为在微塑料的多模态分析中具有巨大潜力,特别是当与成像系统结合使用时。
本研究将有助于更深入地了解人体中微塑料暴露水平的评估,并可能有助于在监测研究和毒理学领域之间架起一座桥梁。