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Dataset of pollutants in organic and non-organic food

Organic and non-organic equivalent corresponding type of foods were assessed for pollutants, polycyclic aromatic hydrocarbons (PAHs), pesticides and heavy metals. In total, 35 samples of sausages and cheeses were tested from three western European countries, Spain, France, and Germany. These samples...

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Autores principales: Seralini, Gilles-Eric, Douzelet, Jérôme, Jungers, Gérald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133552/
https://www.ncbi.nlm.nih.gov/pubmed/35647239
http://dx.doi.org/10.1016/j.dib.2022.108295
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author Seralini, Gilles-Eric
Douzelet, Jérôme
Jungers, Gérald
author_facet Seralini, Gilles-Eric
Douzelet, Jérôme
Jungers, Gérald
author_sort Seralini, Gilles-Eric
collection PubMed
description Organic and non-organic equivalent corresponding type of foods were assessed for pollutants, polycyclic aromatic hydrocarbons (PAHs), pesticides and heavy metals. In total, 35 samples of sausages and cheeses were tested from three western European countries, Spain, France, and Germany. These samples were chosen because they are meat and milk products presenting some bioaccumulation capacity. Petroleum residues were demonstrated in pesticide formulants. These include polycyclic aromatic hydrocarbons (PAHs) and metals. We measured in these human foods 800 pesticides, 24 PAHs, using accredited methods, as well as eleven metals and elements. Pesticides’ measurements were performed either by gas or liquid chromatography, followed by mass spectrometry, according to regulatory standard methods, that were measured over the threshold of 10 μg/kg for this reason. This could be insufficient to detect all toxic contaminations. Metals were analysed by high frequency induced plasma emission spectrometry and mass spectrometry after pressurized digestion. PAHs were assessed by gas and/or high-performance liquid chromatography with reverse phase polarity and if necessary double mass spectrometry. The raw data are summarized in Tables 1 and 2. The dataset can be reused for statistical analyses by the scientific community to evidence food pollution and to be compared with other measurements.
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spelling pubmed-91335522022-05-27 Dataset of pollutants in organic and non-organic food Seralini, Gilles-Eric Douzelet, Jérôme Jungers, Gérald Data Brief Data Article Organic and non-organic equivalent corresponding type of foods were assessed for pollutants, polycyclic aromatic hydrocarbons (PAHs), pesticides and heavy metals. In total, 35 samples of sausages and cheeses were tested from three western European countries, Spain, France, and Germany. These samples were chosen because they are meat and milk products presenting some bioaccumulation capacity. Petroleum residues were demonstrated in pesticide formulants. These include polycyclic aromatic hydrocarbons (PAHs) and metals. We measured in these human foods 800 pesticides, 24 PAHs, using accredited methods, as well as eleven metals and elements. Pesticides’ measurements were performed either by gas or liquid chromatography, followed by mass spectrometry, according to regulatory standard methods, that were measured over the threshold of 10 μg/kg for this reason. This could be insufficient to detect all toxic contaminations. Metals were analysed by high frequency induced plasma emission spectrometry and mass spectrometry after pressurized digestion. PAHs were assessed by gas and/or high-performance liquid chromatography with reverse phase polarity and if necessary double mass spectrometry. The raw data are summarized in Tables 1 and 2. The dataset can be reused for statistical analyses by the scientific community to evidence food pollution and to be compared with other measurements. Elsevier 2022-05-19 /pmc/articles/PMC9133552/ /pubmed/35647239 http://dx.doi.org/10.1016/j.dib.2022.108295 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Seralini, Gilles-Eric
Douzelet, Jérôme
Jungers, Gérald
Dataset of pollutants in organic and non-organic food
title Dataset of pollutants in organic and non-organic food
title_full Dataset of pollutants in organic and non-organic food
title_fullStr Dataset of pollutants in organic and non-organic food
title_full_unstemmed Dataset of pollutants in organic and non-organic food
title_short Dataset of pollutants in organic and non-organic food
title_sort dataset of pollutants in organic and non-organic food
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133552/
https://www.ncbi.nlm.nih.gov/pubmed/35647239
http://dx.doi.org/10.1016/j.dib.2022.108295
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