4.5 Article

Sensitive determination of trace urinary 3-hydroxybenzo[a]pyrene using ionic liquids-based dispersive liquid-liquid microextraction followed by chemical derivatization and high performance liquid chromatography-high resolution tandem mass spectrometry

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jchromb.2016.05.041

Keywords

3-Hydroxybenzol[a]pyrene; Ionic liquid dispersive liquid-liquid microextraction; Chemical derivatization; Human urine; HPLC-HRMS/MS

Funding

  1. key laboratory of cigarette smoke research of China National Tobacco Corporation [SZBCW201300709]

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3-Hydroxybenzo[a]pyrene (3-OHBaP) is widely used as a biomarker for assessing carcinogenic benzo[a]pyrene exposure risks. However, monitoring urinary 3-OHBaP suffers from an insufficient sensitivity due to the pg/mL level in urine excretion. In this study, a sensitive method for determination trace urinary 3-OHBaP was developed, involving enzymatic hydrolysis of the glucuronide and sulfate conjugates, ionic liquids dispersive liquid-liquid microextraction (IL-DLLME) enrichment, derivatization with dansyl chloride and HPLC-HRMS/MS analysis in the positive ion mode. Using IL-DLLME makes the enrichment of trace 3-OHBaP very simple, time-saving, efficiency and environmentally-friendly. To enhanced HPLC-HRMS/MS response, an MS-friendly dansyl group was introduced to increase the ionization and fragmentation efficiency. The optimal IL-DLLME extraction parameters and derivatization reaction conditions were investigated. Good linearity was obtained over a concentration range of 0.6-50.0 pg/mL with correlation coefficients (r(2)) of 0.9918. The limit of detection (LOD) and limit of quantification (LOQ) values were 0.2 pg/mL and 0.58 pg/mL, respectively. The recoveries were 92.0 +/- 4.2% with the intra-day and inter-day RSD values ranged from 2.2% to 3.8% and from 3.3% to 6.8%, respectively. The proposed IL-DLLME-Dansylation-HPLC-HRMS/MS method was successfully applied to determine urinary 3-OHBaP of non-occupational exposed smokers and nonsmokers. (C) 2016 Elsevier B.V. All rights reserved.

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