Li Jiufeng, Wang Kuancheng, Lin Zhiqi, Zhu Meng, Xu Siqi, Cui Zonghui, Ouyang Zhaoyi, Wen Danfeng, Li Qiang
Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China.
Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China.
J Chromatogr A. 2025 May 24;1749:465868. doi: 10.1016/j.chroma.2025.465868. Epub 2025 Mar 11.
Microplastics are widely present in the environment and have been found in human biological samples. However, their adverse effects on human remain unclear due to methodological limitations in microplastic analysis. This study aims to develop and validate a Py-GC/MS based analytical method for quantifying 8 typical microplastics in meconium samples. Meconium samples were pretreated via acid digestion, filtration, and analyzed by Py-GC/MS. All 8 microplastics exhibited linear coefficients (R) exceeding 0.99. Recovery rates (excluding polyethylene terephthalate) ranged from 65.24 % to 114.27 %, with precision values (RSD) of 2.16 % to 14.85 %. Application of this method to 60 meconium samples revealed the presence of all 8 target microplastics, with the concentrations ranging from 1.60 × 10 to 1.53 × 10 μg/g and detection rates ranging from 51.67 % to 70.67 %. This method provides a robust technical approach for detecting microplastics in meconium and evaluating associated health risks.
微塑料广泛存在于环境中，并且已在人体生物样本中被发现。然而，由于微塑料分析方法的局限性，其对人体的不利影响仍不清楚。本研究旨在开发并验证一种基于热解气相色谱/质谱联用仪（Py-GC/MS）的分析方法，用于定量胎粪样本中的8种典型微塑料。胎粪样本经酸消解、过滤预处理后，采用Py-GC/MS进行分析。所有8种微塑料的线性系数（R）均超过0.99。回收率（不包括聚对苯二甲酸乙二酯）在65.24%至114.27%之间，精密度值（相对标准偏差，RSD）为2.16%至14.85%。将该方法应用于60份胎粪样本，结果显示所有8种目标微塑料均存在，浓度范围为1.60×10至1.53×10微克/克，检出率为51.67%至70.67%。该方法为检测胎粪中的微塑料及评估相关健康风险提供了一种可靠的技术手段。
