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High Density Supercritical Carbon Dioxide for the Extraction of Pesticide Residues in Onion with Multivariate Response Surface Methodology

The excessive use of pesticides is a serious health problem due to their toxicity and bioaccumulation through the food chain. Due to the complexity of foods, the analysis of pesticides is challenging often giving large matrix effects and co-extracted compounds. To overcome this problem, a selective...

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Autores principales: Tolcha, Teshome, Gemechu, Tura, Al-Hamimi, Said, Megersa, Negussie, Turner, Charlotta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070919/
https://www.ncbi.nlm.nih.gov/pubmed/32102410
http://dx.doi.org/10.3390/molecules25041012
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author Tolcha, Teshome
Gemechu, Tura
Al-Hamimi, Said
Megersa, Negussie
Turner, Charlotta
author_facet Tolcha, Teshome
Gemechu, Tura
Al-Hamimi, Said
Megersa, Negussie
Turner, Charlotta
author_sort Tolcha, Teshome
collection PubMed
description The excessive use of pesticides is a serious health problem due to their toxicity and bioaccumulation through the food chain. Due to the complexity of foods, the analysis of pesticides is challenging often giving large matrix effects and co-extracted compounds. To overcome this problem, a selective and “green” supercritical fluid extraction method was developed, using neat carbon dioxide as a solvent at pressures of up to 800 bars. A Box–Behnken response surface experimental design was used, with the independent variables of density (0.70−1.0 g mL(−1)), temperature (40−70 °C), and volume (10−40 mL) of solvent, and the dependent variable of extracted amount of pesticides. The optimum extraction condition was found at the use of 29 mL of supercritical CO(2) at 0.90 g mL(−1) and 53 °C (corresponding to 372 bars of pressure). It was observed that increasing the density of CO(2) significantly increased the extraction recovery of endrin and 2,4′-dichlorodiphenyldichloroethane. Matrix-matched calibration curves showed satisfactory linearity (R(2) ≥ 0.994), and LODs ranged from 0.2 to 2.0 ng g(−1). Precision was lower than 11% and recoveries between 80%–103%. Thus, the developed method could efficiently be used for trace analysis of pesticides in complex food matrices without the use of organic solvents.
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spelling pubmed-70709192020-03-19 High Density Supercritical Carbon Dioxide for the Extraction of Pesticide Residues in Onion with Multivariate Response Surface Methodology Tolcha, Teshome Gemechu, Tura Al-Hamimi, Said Megersa, Negussie Turner, Charlotta Molecules Article The excessive use of pesticides is a serious health problem due to their toxicity and bioaccumulation through the food chain. Due to the complexity of foods, the analysis of pesticides is challenging often giving large matrix effects and co-extracted compounds. To overcome this problem, a selective and “green” supercritical fluid extraction method was developed, using neat carbon dioxide as a solvent at pressures of up to 800 bars. A Box–Behnken response surface experimental design was used, with the independent variables of density (0.70−1.0 g mL(−1)), temperature (40−70 °C), and volume (10−40 mL) of solvent, and the dependent variable of extracted amount of pesticides. The optimum extraction condition was found at the use of 29 mL of supercritical CO(2) at 0.90 g mL(−1) and 53 °C (corresponding to 372 bars of pressure). It was observed that increasing the density of CO(2) significantly increased the extraction recovery of endrin and 2,4′-dichlorodiphenyldichloroethane. Matrix-matched calibration curves showed satisfactory linearity (R(2) ≥ 0.994), and LODs ranged from 0.2 to 2.0 ng g(−1). Precision was lower than 11% and recoveries between 80%–103%. Thus, the developed method could efficiently be used for trace analysis of pesticides in complex food matrices without the use of organic solvents. MDPI 2020-02-24 /pmc/articles/PMC7070919/ /pubmed/32102410 http://dx.doi.org/10.3390/molecules25041012 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tolcha, Teshome
Gemechu, Tura
Al-Hamimi, Said
Megersa, Negussie
Turner, Charlotta
High Density Supercritical Carbon Dioxide for the Extraction of Pesticide Residues in Onion with Multivariate Response Surface Methodology
title High Density Supercritical Carbon Dioxide for the Extraction of Pesticide Residues in Onion with Multivariate Response Surface Methodology
title_full High Density Supercritical Carbon Dioxide for the Extraction of Pesticide Residues in Onion with Multivariate Response Surface Methodology
title_fullStr High Density Supercritical Carbon Dioxide for the Extraction of Pesticide Residues in Onion with Multivariate Response Surface Methodology
title_full_unstemmed High Density Supercritical Carbon Dioxide for the Extraction of Pesticide Residues in Onion with Multivariate Response Surface Methodology
title_short High Density Supercritical Carbon Dioxide for the Extraction of Pesticide Residues in Onion with Multivariate Response Surface Methodology
title_sort high density supercritical carbon dioxide for the extraction of pesticide residues in onion with multivariate response surface methodology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070919/
https://www.ncbi.nlm.nih.gov/pubmed/32102410
http://dx.doi.org/10.3390/molecules25041012
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