Nontarget Time Trend Screening in Human Blood
Nontarget Time Trend Screening in Human Blood
复制标题
DOI：
10.1021/acs.estlett.8b00196
复制
发表时间：
2018-06-01
影响因子：
10.9
通讯作者：
Benskin, Jonathan P.
中科院分区：
文献类型：
--
作者：
Plassmann, Merle M.;Fischer, Stellan;Benskin, Jonathan P.
人体生物监测（HBM）项目监测暴露于有限数量的优先化学品，导致一些重要物质被忽视。非目标分析显示出捕获新物质的希望，但这些方法产生的大量数据仍然具有挑战性。在这里，我们对时间非目标HBM数据应用优先级策略，该策略列出了随时间趋势增加的特征，可能代表生物累积或人类越来越多地暴露的物质。使用改良的QuEChERS方法提取1983年至2015年在德国采集的人全血样本，并通过UHPLC-Oribtrap-质谱法进行分析。在对齐、峰值检测、分组和间隙填充之后，获得了多达14，460个特征。这一数字减少到
Human biomonitoring (HBM) programs monitor exposure to a limited number of prioritized chemicals resulting in some important substances being overlooked. Nontarget analysis shows promise for capturing novel substances, yet the large quantity of data produced by these methods remains challenging to interrogate. Here, we apply a prioritization strategy for temporal nontarget HBM data, which shortlists features with increasing time trends, possibly representing substances which are bioaccumulating or to which humans are increasingly exposed. Human whole blood sampled in Germany between 1983 and 2015 was extracted using a modified QuEChERS method and analyzed by UHPLC-Oribtrap-mass spectrometry. Following alignment, peak detection, grouping, and gap filling, up to 14,460 features were obtained. This number was reduced to