Department of Chemistry, University at Buffalo, The State University of New York, Buffalo, NY 14220, United States of America.
Department of Biological Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14220, United States of America.
Sci Total Environ. 2019 Nov 25;693:133443. doi: 10.1016/j.scitotenv.2019.07.249. Epub 2019 Jul 18.
Mass-spectrometry based metabolomics has recently emerged as a valuable technique in understanding the ecotoxicity and mode of action of a wide range of xenobiotics in the environment, including engineered nanomaterials (ENMs). However, the applications of metabolomics in elucidating the biochemical pathways affected by xenobiotics have been mostly performed using targeted analysis. In this study, the effects of copper oxide nanoparticles (CuO NPs) on Arabidopsis thaliana, a model plant, was investigated using untargeted metabolite profiling based on two platforms of high-resolution mass spectrometry (MS): (1) liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QToF-MS) and (2) LC Q Exactive™ Hybrid Quadrupole-Orbitrap™-MS (LC-Orbitrap-MS). This approach was performed to identify specific features (mass-to-charge ratios, m/z's) that are significantly changed in a reproducible manner regardless of the MS platform used in metabolomics. In addition, the total copper concentrations taken up in plant tissues were quantified using inductively coupled plasma mass spectrometry (ICP-MS), which provided evidence of translocation of CuO NPs from roots to leaves and flowering shoots. Results from untargeted metabolomics showed that there were 65 plant metabolites that were altered commonly in both LC/MS platforms resulting from CuO NPs exposure of Arabidopsis thaliana. These metabolites belong to the jasmonic acid and glucosinolates pathways, suggesting the stress response induced by CuO NPs in Arabidopsis. This study demonstrated the effectiveness of high-resolution LC/MS in providing insight on the mechanism of nanotoxicity of CuO NPs in plants.
基于质谱的代谢组学最近成为一种有价值的技术，可用于了解环境中各种外源物质（包括工程纳米材料）的生态毒性和作用方式。然而，代谢组学在阐明外源物质影响的生化途径方面的应用主要是通过靶向分析来完成的。在这项研究中，使用基于高分辨率质谱的非靶向代谢组学 profiling 方法，研究了氧化铜纳米颗粒 (CuO NPs) 对拟南芥（一种模式植物）的影响，该方法基于两种高分辨率质谱平台：（1）液相色谱四极杆飞行时间质谱 (LC-QToF-MS) 和（2）LC Q Exactive™ 混合四极杆轨道阱质谱 (LC-Orbitrap-MS)。这种方法旨在识别特定的特征（质荷比，m/z），这些特征以可重复的方式发生变化，而不受代谢组学中使用的 MS 平台的影响。此外，使用电感耦合等离子体质谱 (ICP-MS) 定量测定植物组织中吸收的总铜浓度，这为 CuO NPs 从根部转运到叶片和开花枝提供了证据。非靶向代谢组学的结果表明，有 65 种植物代谢物因 CuO NPs 暴露于拟南芥而共同发生变化，这两种 LC/MS 平台都检测到了这些代谢物。这些代谢物属于茉莉酸和硫代葡萄糖苷途径，表明 CuO NPs 诱导拟南芥产生应激反应。本研究证明了高分辨率 LC/MS 在提供关于 CuO NPs 对植物纳米毒性机制的见解方面的有效性。
