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Infant Exposure to Bisphenol A Can Be Quantitatively Assessed by a Simply Improved High-Performance Liquid Chromatography–Tandem Mass-Spectrometry Method

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Abstract

To quantitatively measure trace levels of bisphenol A (BPA) in infant urine, a simply improved high-performance liquid chromatography (HPLC)–tandem mass-spectrometry method was developed and validated. In the present work, a ZORBAX SB-C18 column (2.1 × 30 mm, 3.5 μm) was used for trapping and isolating BPA from the HPLC mobile phase. The result showed that the trapping column can provide effective separation from the background BPA to the sample BPA. This method has a limit of detection (LOD) of 0.048 μg/L, spiked recoveries 85.4% (0.50–10.0 μg/L), and relative standard deviations of 1.8–15.9%. By using its low-LOD advantage, we firstly reported that Chinese infants (n = 48 with age <6 months) have been ubiquitously exposed to BPA (detection frequency of 93%) with an median level of 0.13 μg/L (ranging from below LOD to 5.04 μg/L).

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Acknowledgments

This work was supported by Zhejiang Provincial Natural Science Foundation (Grant No. LY14B070005), NSFC Research Foundation (Grant No. 21407144) and Fujian Nature Science of Foundation (Grand No. 2015J05038).

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Authors and Affiliations

  1. Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China

    Heng Wang, Liangpo Liu, Syed Ali Musstjab Akber Shah Eqani & Heqing Shen

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Heng Wang, Liangpo Liu & Heqing Shen

  3. Key Laboratory of Health Risk Factors for Seafood of Zhejiang Province, Zhoushan Municipal Center for Disease Control and Prevention, Zhejiang, Zhoushan, 316021, China

    Heng Wang

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  1. Heng Wang
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  2. Liangpo Liu
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Correspondence to Liangpo Liu or Heqing Shen.

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Wang, H., Liu, L., Eqani, S.A.M.A.S. et al. Infant Exposure to Bisphenol A Can Be Quantitatively Assessed by a Simply Improved High-Performance Liquid Chromatography–Tandem Mass-Spectrometry Method. ANAL. SCI. 33, 777–781 (2017). https://doi.org/10.2116/analsci.33.777

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