Literature DB >> 23225721

Chemometrics assisted dispersive liquid-liquid microextraction for quantification of seven UV filters in urine samples by HPLC-DAD.

Maryam Vosough1, Nahal Rahimdoost Mojdehi, Amir Salemi.   

Abstract

In the present study, dispersive liquid-liquid microextraction followed by high performance liquid chromatography-diode array detection has been developed as simple, rapid, accurate, and efficient sample preparation method for simultaneous determination of seven organic UV filters in urine samples. The influence of the main effects as well as their interactions was studied through a 2((6-2)) fractional factorial design. The candidate parameters were: type and volume of dispersant and extraction solvents, sample pH, and salt concentration. Under final optimal conditions, the analytes were extracted from 5 mL of samples by addition of 0.5 mL of acetonitrile (dispersing solvent) containing 70 μL of carbon tetrachloride (extraction solvent), without modifying the pH of the solution and applying the (+1) level of salt concentration (10% w/v NaCl). The assay was linear (R(2) > 0.997), relative recoveries ranged from 86.9 up to 97.3% and the LOQs between 3 and 45 ng mL(-1) were obtained. The intra- and interday RSDs were lower than 5 and 8% at the middle point of the linear range, respectively. The proposed method was successfully applied to different volunteer urine samples and it was shown that the extraction efficiency was not affected by the type of urine samples.
© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2012        PMID: 23225721     DOI: 10.1002/jssc.201200564

Source DB:  PubMed          Journal:  J Sep Sci        ISSN: 1615-9306            Impact factor:   3.645


  1 in total

1.  An improved independent component analysis model for 3D chromatogram separation and its solution by multi-areas genetic algorithm.

Authors:  Lizhi Cui; Josiah Poon; Simon K Poon; Hao Chen; Junbin Gao; Paul Kwan; Kei Fan; Zhihao Ling
Journal:  BMC Bioinformatics       Date:  2014-11-06       Impact factor: 3.169

  1 in total

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