4.7 Article

A new method for the determination of benzophenone-UV filters in human serum samples by dispersive liquid-liquid microextraction with liquid chromatography-tandem mass spectrometry

期刊

TALANTA
卷 121, 期 -, 页码 97-104

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.talanta.2013.12.048

关键词

Benzophenone-UV filters; Human serum analysis; DLLME; UPLC MS/MS

资金

  1. Regional Government of Andalusia (Project of Excellence) [P09-CTS-4470]
  2. University of Granada

向作者/读者索取更多资源

Benzophenone-UV filters (BP-UV filters) are extensively used in cosmetics products to avoid damaging effects of UV radiation. Despite their low toxicity, many research papers indicate that BP-UV filters are weak endocrine disruptors (EDCs). There are clear relationships between BP-UV filters exposure and several health disorders such as carcinogenesis and malformations observed in animals. In the present work, a new sample treatment procedure by dispersive liquid-liquid microextraction (DLLME) is proposed for the extraction of six BPs, namely benzophenone-1 (BP-1), benzophenone-2 (BP-2), benzophenone-3 (BP-3), benzophenone-6 (BP-6), benzophenone-8 (BP-8) and 4-hydroxybenzophenone (4-OH-BP), in human serum samples, followed by ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) analysis. The method involves an enzymatic treatment to quantify the total content (free plus conjugated species) of BP-UV filters in serum. The extraction parameters were accurately optimized using multivariate optimization approach. Benzophenone-d(10) (BP-d(10)) was used as surrogate. Limits of quantification -(LOQs) ranged from 0.4 to 0.9 ng mL(-1) and inter-day precision (evaluated as relative standard deviation) ranged from 1.9% to 13.1%. The method was validated using matrix-matched calibration and a recovery assay. Recovery rates for spiked samples ranged from 97% to 106%, and acceptable linearity was obtained up to concentrations of 40 ng mL(-1). The method was applied to the determination of the target compounds in human serum samples from 20 randomly selected anonymous individuals. (C) 2013 Elsevier B.V. All rights reserved.

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