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Comparison of three different lipid removal cleanup techniques prior to the analysis of sulfonamide drug residues in porcine tissues

A number of 17 sulfonamides (SNs) determination in porcine tissues using two new materials including Enhanced Matrix Removal for Lipid (EMR‐L) and Oasis PRiME hydrophilic‐lipophilic balance (HLB), and the conventional liquid–liquid extraction with n‐hexane (LLE) sample preparation methods were evalu...

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Autores principales: Wang, Jie, Hu, Qiuhui, Li, Peng, Fang, Yong, Yang, Wenjian, Ma, Ning, Pei, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6766571/
https://www.ncbi.nlm.nih.gov/pubmed/31572594
http://dx.doi.org/10.1002/fsn3.1158
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author Wang, Jie
Hu, Qiuhui
Li, Peng
Fang, Yong
Yang, Wenjian
Ma, Ning
Pei, Fei
author_facet Wang, Jie
Hu, Qiuhui
Li, Peng
Fang, Yong
Yang, Wenjian
Ma, Ning
Pei, Fei
author_sort Wang, Jie
collection PubMed
description A number of 17 sulfonamides (SNs) determination in porcine tissues using two new materials including Enhanced Matrix Removal for Lipid (EMR‐L) and Oasis PRiME hydrophilic‐lipophilic balance (HLB), and the conventional liquid–liquid extraction with n‐hexane (LLE) sample preparation methods were evaluated and compared. Samples were extracted uniformly with acidified acetonitrile and cleaned up by the three sample preparation methods, and then, analytes were further separated by ultrahigh‐performance liquid chromatography (UHPLC) and detected by a triple quadrupole mass spectrometry (MS/MS) or a quadrupole‐time‐of‐flight tandem mass spectrometry (Q‐TOF/MS). The results showed that the matrix effects from the EMR‐L and HLB were significantly lower than that from LLE, suggesting that these two new materials are superior to n‐hexane in the precipitation of proteins and the adsorption of lipids. Moreover, the recoveries of 17 SNs were quantified by the matrix‐matched calibration curve at spiked level of 5, 10, and 20 μg/kg, and 97.0% of the results satisfied method validation requirements. The samples cleaned up by EMR‐L and HLB achieved the highest average recovery in liver and kidney with high moisture content, and muscle which is high in fat, respectively. In addition, Q‐TOF/MS could play a good role in aided verification based on the result of repeated validation test. In summary, either combination of approaches could be used to achieve monitoring purposes; it is still worthwhile to adopt a specific sample preparation method and MS detector for the quantification in a specific matrix.
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spelling pubmed-67665712019-09-30 Comparison of three different lipid removal cleanup techniques prior to the analysis of sulfonamide drug residues in porcine tissues Wang, Jie Hu, Qiuhui Li, Peng Fang, Yong Yang, Wenjian Ma, Ning Pei, Fei Food Sci Nutr Original Research A number of 17 sulfonamides (SNs) determination in porcine tissues using two new materials including Enhanced Matrix Removal for Lipid (EMR‐L) and Oasis PRiME hydrophilic‐lipophilic balance (HLB), and the conventional liquid–liquid extraction with n‐hexane (LLE) sample preparation methods were evaluated and compared. Samples were extracted uniformly with acidified acetonitrile and cleaned up by the three sample preparation methods, and then, analytes were further separated by ultrahigh‐performance liquid chromatography (UHPLC) and detected by a triple quadrupole mass spectrometry (MS/MS) or a quadrupole‐time‐of‐flight tandem mass spectrometry (Q‐TOF/MS). The results showed that the matrix effects from the EMR‐L and HLB were significantly lower than that from LLE, suggesting that these two new materials are superior to n‐hexane in the precipitation of proteins and the adsorption of lipids. Moreover, the recoveries of 17 SNs were quantified by the matrix‐matched calibration curve at spiked level of 5, 10, and 20 μg/kg, and 97.0% of the results satisfied method validation requirements. The samples cleaned up by EMR‐L and HLB achieved the highest average recovery in liver and kidney with high moisture content, and muscle which is high in fat, respectively. In addition, Q‐TOF/MS could play a good role in aided verification based on the result of repeated validation test. In summary, either combination of approaches could be used to achieve monitoring purposes; it is still worthwhile to adopt a specific sample preparation method and MS detector for the quantification in a specific matrix. John Wiley and Sons Inc. 2019-08-07 /pmc/articles/PMC6766571/ /pubmed/31572594 http://dx.doi.org/10.1002/fsn3.1158 Text en © 2019 The Authors. Food Science & Nutrition published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Wang, Jie
Hu, Qiuhui
Li, Peng
Fang, Yong
Yang, Wenjian
Ma, Ning
Pei, Fei
Comparison of three different lipid removal cleanup techniques prior to the analysis of sulfonamide drug residues in porcine tissues
title Comparison of three different lipid removal cleanup techniques prior to the analysis of sulfonamide drug residues in porcine tissues
title_full Comparison of three different lipid removal cleanup techniques prior to the analysis of sulfonamide drug residues in porcine tissues
title_fullStr Comparison of three different lipid removal cleanup techniques prior to the analysis of sulfonamide drug residues in porcine tissues
title_full_unstemmed Comparison of three different lipid removal cleanup techniques prior to the analysis of sulfonamide drug residues in porcine tissues
title_short Comparison of three different lipid removal cleanup techniques prior to the analysis of sulfonamide drug residues in porcine tissues
title_sort comparison of three different lipid removal cleanup techniques prior to the analysis of sulfonamide drug residues in porcine tissues
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6766571/
https://www.ncbi.nlm.nih.gov/pubmed/31572594
http://dx.doi.org/10.1002/fsn3.1158
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