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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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https://doi.org/10.5281/zenodo...
Dataset . 2022
License: CC BY
Data sources: Sygma
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Pesticide metabolites database and occurrence data in wine

Authors: Schusterova Dana; Suchanova Marie; Pulkrabova Jana; Kocourek Vladimir; Hajslova Jana;

Pesticide metabolites database and occurrence data in wine

Abstract

Pesticide metabolites database is the overview of potential pesticide metabolites originated from selected parent compounds. These metabolites can be found in various source including JMPR (FAO/WHO) documents, EU pesticide database, EFSA etc. Based on their elemental formula respective ions (protonated / deprotonated molecules, their adducts) originated in ESI source can be derived for ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS). Occurrence data were obtained from determination of pesticide residues and their metabolites in samples of grapevine and wine, using UHPLC-HRMS, with the objective of supporting the possibility of the verification of the method of farming. It documents the identification of pesticide metabolites commonly used in conventional farming and provides a characterization of pesticide degradation during grapevine growth, maturation and during the wine-making process. The dataset is useful for anyone working on authentication of organic fruits and vegetables.

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Keywords

Pesticides, metabolites, LC-MS, authentication, organic farming, fruits, vegetables

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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