UHPLC–MS/MS method for the determination of bisphenol A and its chlorinated derivatives, bisphenol S, parabens, and benzophenones in human urine samples
In the present work, a new method based on a sample treatment by dispersive liquid–liquid microextraction (DLLME) for the extraction of six bisphenols (bisphenol A, bisphenol S, and monochloro-, dichloro-, trichloro-, and tetrachlorobisphenol A), four parabens (methyl-, ethyl-, propyl-, and butylpar...
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Veröffentlicht in: | Analytical and bioanalytical chemistry 2014-06, Vol.406 (15), p.3773-3785 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In the present work, a new method based on a sample treatment by dispersive liquid–liquid microextraction (DLLME) for the extraction of six bisphenols (bisphenol A, bisphenol S, and monochloro-, dichloro-, trichloro-, and tetrachlorobisphenol A), four parabens (methyl-, ethyl-, propyl-, and butylparaben), and six benzophenones (benzophenone-1, benzophenone-2, benzophenone-3, benzophenone-6, benzophenone-8, and 4-hydroxybenzophenone) in human urine samples, followed by ultrahigh-performance liquid chromatography–tandem mass spectrometry (UHPLC–MS/MS) analysis, is validated. An enzymatic treatment allows determining the total content of the target EDCs. The extraction parameters were accurately optimized using multivariate optimization strategies. Ethylparaben ring-
13
C
6
, benzophenone-d
10
, and bisphenol A-d
16
were used as surrogates. Limits of quantification ranging from 0.1 to 0.6 ng mL
−1
and interday variabilities (evaluated as relative standard deviations) from 2.0 to 13.8 % were obtained. The method was validated using matrix-matched standard calibration followed by a recovery assay with spiked samples. Recovery rates ranged from 94 to 106 %. A good linearity, for concentrations up to 300 ng mL
−1
for parabens and 40 ng mL
−1
for benzophenones and bisphenols, was also obtained. The method was satisfactorily applied for the determination of target compounds in human urine samples from 20 randomly selected individuals. |
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ISSN: | 1618-2642 1618-2650 |
DOI: | 10.1007/s00216-014-7785-9 |