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- W4245398664 abstract "We are constantly exposed to a variety of environmental contaminants and hormones including those mimicking endogenous estrogens. These highly heterogeneous molecules are collectively referred to as xenoestrogens and hold the potential to affect and alter the delicate hormonal balance of the human body. To monitor exposure and investigate potential health implications, comprehensive analytical methods covering all major xenoestrogen classes are urgently needed but still not available. Herein, we describe an LC-MS/MS method for the simultaneous determination of multiple classes of endogenous as well as exogenous estrogens in human urine, serum and breast milk to enable proper exposure and risk assessment. In total, 75 analytes were included, whereof a majority was successfully in-house validated in the three matrices. Extraction recoveries of validated analytes ranged from 71% to 110% and limits of quantification from 0.015 to 5 µg/L, 0.03 to 14 µg/L, and 0.03 to 4.6 µg/L in urine, serum and breast milk, respec-tively. The applicability of the novel method was demonstrated in proof of principle experiments by analyzing urine from Austrian, and breast milk from Austrian and Nigerian individuals. Thereby, we proved the methods’ feasibility to identify and quantify different classes of xenoestrogens simultaneously. The results illustrate the general importance of multi-class exposure assessment in the context of the exposome paradigm. Specifically, they highlight the need for estimating total estrogenic burden rather than single analyte or chemical class measurements and its potential impact in endocrine disruption and hormone related diseases including cancers.<br>" @default.
- W4245398664 created "2022-05-12" @default.
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- W4245398664 date "2019-05-23" @default.
- W4245398664 modified "2023-09-27" @default.
- W4245398664 title "A Generic LC-MS/MS Exposome Method for the Determination of Xenoestrogens in Biological Matrices" @default.
- W4245398664 doi "https://doi.org/10.26434/chemrxiv.8159033" @default.
- W4245398664 hasPublicationYear "2019" @default.
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