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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-9133552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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