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Development of a Efficient and Sensitive Dispersive Liquid–Liquid Microextraction Technique for Extraction and Preconcentration of 10 β(2)-Agonists in Animal Urine

Dispersive liquid–liquid microextraction (DLLME) coupled with ultra-performance liquid chromatography with tandem mass spectrometry (UPLC-MS/MS) was developed for the extraction and determination of 10 β(2)-agonists in animal urine. Some experimental parameters, such as the type and volume of the ex...

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Autores principales: Li, Yang, Zhang, Wei, Wang, Rui-Guo, Wang, Pei-Long, Su, Xiao-Ou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562641/
https://www.ncbi.nlm.nih.gov/pubmed/26348922
http://dx.doi.org/10.1371/journal.pone.0137194
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author Li, Yang
Zhang, Wei
Wang, Rui-Guo
Wang, Pei-Long
Su, Xiao-Ou
author_facet Li, Yang
Zhang, Wei
Wang, Rui-Guo
Wang, Pei-Long
Su, Xiao-Ou
author_sort Li, Yang
collection PubMed
description Dispersive liquid–liquid microextraction (DLLME) coupled with ultra-performance liquid chromatography with tandem mass spectrometry (UPLC-MS/MS) was developed for the extraction and determination of 10 β(2)-agonists in animal urine. Some experimental parameters, such as the type and volume of the extraction solvent, the concentration of the dispersant, the salt concentration, the pH value of the sample solution, the extraction time and the speed of centrifugation, were investigated and optimized. Under the optimized conditions, a good enrichment factors (4.8 to 32.3) were obtained for the extraction. The enrichment factor show that the concentration rate of DLLME is significantly higher than other pretreatment methods, and the detection sensitivity has been greatly improved. The calibration curves were linear, the correlation coefficient ranged from 0.9928 to 0.9999 for the concentration range of 0.05 to 50 ngmL(-1) and 0.1 to 50 ngmL(-1), and the relative standard deviations (RSDs, n = 15, intra and inter-day precision) at a concentration of 5 ngmL(-1) were in the range of 1.8 to 14.6%. The limits of detection (LODs) for the 10 β(2)-agonists, based on a signal-to-noise ratio (S/N) of 3, were in the range of 0.01 to 0.03 ngmL(-1). The proposed method was used to identify β(2)-agonists in three types of animal urine (swine, cattle, sheep), and the relative recoveries from each matrix were in the range of 89.2 to 106.8%, 90.0 to 109.8% and 89.2 to 107.2%, respectively.
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spelling pubmed-45626412015-09-10 Development of a Efficient and Sensitive Dispersive Liquid–Liquid Microextraction Technique for Extraction and Preconcentration of 10 β(2)-Agonists in Animal Urine Li, Yang Zhang, Wei Wang, Rui-Guo Wang, Pei-Long Su, Xiao-Ou PLoS One Research Article Dispersive liquid–liquid microextraction (DLLME) coupled with ultra-performance liquid chromatography with tandem mass spectrometry (UPLC-MS/MS) was developed for the extraction and determination of 10 β(2)-agonists in animal urine. Some experimental parameters, such as the type and volume of the extraction solvent, the concentration of the dispersant, the salt concentration, the pH value of the sample solution, the extraction time and the speed of centrifugation, were investigated and optimized. Under the optimized conditions, a good enrichment factors (4.8 to 32.3) were obtained for the extraction. The enrichment factor show that the concentration rate of DLLME is significantly higher than other pretreatment methods, and the detection sensitivity has been greatly improved. The calibration curves were linear, the correlation coefficient ranged from 0.9928 to 0.9999 for the concentration range of 0.05 to 50 ngmL(-1) and 0.1 to 50 ngmL(-1), and the relative standard deviations (RSDs, n = 15, intra and inter-day precision) at a concentration of 5 ngmL(-1) were in the range of 1.8 to 14.6%. The limits of detection (LODs) for the 10 β(2)-agonists, based on a signal-to-noise ratio (S/N) of 3, were in the range of 0.01 to 0.03 ngmL(-1). The proposed method was used to identify β(2)-agonists in three types of animal urine (swine, cattle, sheep), and the relative recoveries from each matrix were in the range of 89.2 to 106.8%, 90.0 to 109.8% and 89.2 to 107.2%, respectively. Public Library of Science 2015-09-08 /pmc/articles/PMC4562641/ /pubmed/26348922 http://dx.doi.org/10.1371/journal.pone.0137194 Text en © 2015 Li et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Li, Yang
Zhang, Wei
Wang, Rui-Guo
Wang, Pei-Long
Su, Xiao-Ou
Development of a Efficient and Sensitive Dispersive Liquid–Liquid Microextraction Technique for Extraction and Preconcentration of 10 β(2)-Agonists in Animal Urine
title Development of a Efficient and Sensitive Dispersive Liquid–Liquid Microextraction Technique for Extraction and Preconcentration of 10 β(2)-Agonists in Animal Urine
title_full Development of a Efficient and Sensitive Dispersive Liquid–Liquid Microextraction Technique for Extraction and Preconcentration of 10 β(2)-Agonists in Animal Urine
title_fullStr Development of a Efficient and Sensitive Dispersive Liquid–Liquid Microextraction Technique for Extraction and Preconcentration of 10 β(2)-Agonists in Animal Urine
title_full_unstemmed Development of a Efficient and Sensitive Dispersive Liquid–Liquid Microextraction Technique for Extraction and Preconcentration of 10 β(2)-Agonists in Animal Urine
title_short Development of a Efficient and Sensitive Dispersive Liquid–Liquid Microextraction Technique for Extraction and Preconcentration of 10 β(2)-Agonists in Animal Urine
title_sort development of a efficient and sensitive dispersive liquid–liquid microextraction technique for extraction and preconcentration of 10 β(2)-agonists in animal urine
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562641/
https://www.ncbi.nlm.nih.gov/pubmed/26348922
http://dx.doi.org/10.1371/journal.pone.0137194
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