Xiao Yipo, Deng Jiewei, Fang Ling, Tu Lanyin, Luan Tiangang
State Key Laboratory of Biocontrol, South China Sea Bio-Resource Exploitation and Utilization Collaborative Innovation Center, School of Life Sciences, Sun Yat-Sen University, 135 Xingangxi Road, Guangzhou, 510275, China.
School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, 100 Waihuanxi Road, Guangzhou, 510006, China.
Talanta. 2021 Aug 15;231:122377. doi: 10.1016/j.talanta.2021.122377. Epub 2021 Apr 6.
Investigation on the distribution of persistent organic pollutants (POPs) in aquatic organisms is of great importance for exploring the biological toxicity and health risks of environmental pollutants. In this study, a liquid extraction surface analysis mass spectrometry (LESA-MS) method was developed for rapid and in situ analysis of the spatial distribution of perfluoroalkyl substances (PFASs) in zebrafish. By combining the high-precision automated moving platform of LESA device and the high-resolution MS, quantitative analysis of perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS) in zebrafish tissue section were easily achieved. A tissue-specific ionization efficiency factor (TSF) strategy was also proposed to correct the matrix effect in different parts of zebrafish tissue. By using the developed method, high sensitive and efficient imaging of PFOA and PFOS in zebrafish tissue was achieved, and the distributions of PFOA and PFOS in descending order were gills, organs, roes, pelvic fin, muscle, and brain. The experimental results demonstrated that the coupling of LESA-MS method with TFS strategy is an efficient and reliable approach for monitoring the content distribution of environmental pollutants in biological tissues.
研究水生生物中持久性有机污染物(POPs)的分布对于探索环境污染物的生物毒性和健康风险具有重要意义。在本研究中,开发了一种液相萃取表面分析质谱(LESA-MS)方法,用于快速原位分析斑马鱼中全氟烷基物质(PFASs)的空间分布。通过将LESA装置的高精度自动移动平台与高分辨率质谱相结合,轻松实现了斑马鱼组织切片中全氟辛酸(PFOA)和全氟辛烷磺酸(PFOS)的定量分析。还提出了一种组织特异性电离效率因子(TSF)策略来校正斑马鱼组织不同部位的基质效应。利用所开发的方法,实现了斑马鱼组织中PFOA和PFOS的高灵敏高效成像,PFOA和PFOS的分布从高到低依次为鳃、器官、鱼卵、腹鳍、肌肉和脑。实验结果表明,LESA-MS方法与TFS策略的结合是监测生物组织中环境污染物含量分布的一种有效且可靠的方法。