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Estonian results from the monitoring of pesticide residues in food

Veterinary and Food Board · Zenodo (CERN)
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agricultureconsumer-risk-assessmentcropsfood-controlmaximum-residue-levelsmonitoringpesticide-residuesplant-protection-products
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Estonian results from the monitoring of pesticide residues in food | Zenodo Skip to main Communities My dashboard Log in Sign up Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. Knowledge Junction Published May 5, 2026 | Version 10 Dataset Open Estonian results from the monitoring of pesticide residues in food Authors/Creators Veterinary and Food Board 1 Show affiliations 1.

Veterinary and Food Board Description This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called “maximum residue levels” or briefly “MRLs”, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits. A sample is considered free of quantifiable residues if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy. If a sample contains quantifiable residues but within the legally permitted limit (maximum residue level, MRL), it is described as a sample  with quantified residue levels within the legal limits (below or at the MRL) A sample is considered non-compliant with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: MOPER_2024 - Veterinary and Food Board MOPER_2023 - Veterinary and Food Board MOPER_2022 - Veterinary and Food Board MOPER_2021 - Veterinary and Food Board MOPER_2020 - Veterinary and Food Board MOPER_2019 - Veterinary and Food Board MOPER_2018 - Veterinary and Food Board MOPER_2017 - Veterinary and Food Board MOPER_2016 - Veterinary and Food Board MOPER_2015 - Veterinary and Food Board MOPER_2014 - Veterinary and Food Board MOPER_2013 - Veterinary and Food Board MOPER_2012 - Veterinary and Food Board MOPER_2011 - Veterinary and Food Board We are seeking feedback on our open data please complete the survey at the link below: https://ec.europa.eu/eusurvey/runner/9344dfa0-f384-cb72-65f6-6c187a6d0f14 Notes EE; CSV; data.collection@efsa.europa.eu Files MOPER_ALL_DATA_SSD2_2024_EE.ZIP Files (2.4 MB) Name Size Download all MOPER_ALL_DATA_SSD2_2024_EE.ZIP md5:818aa06138dfb388f28c158d66845c36 2.4 MB Preview Download Additional details Related works Is cited by 10.2903/j.efsa.2023.7939 (DOI) 10.2903/j.efsa.2022.7215 (DOI) 10.2903/j.efsa.2021.6491 (DOI) 10.2903/j.efsa.2020.6057 (DOI) 10.2903/j.efsa.2019.5743 (DOI) 10.2903/j.efsa.2018.5348 (DOI) 10.2903/j.efsa.2017.4791 (DOI) 10.2903/j.efsa.2016.4611 (DOI) 10.2903/j.efsa.2015.4038 (DOI) 10.2903/j.efsa.2014.3942 (DOI) 10.2903/j.efsa.2014.3694 (DOI) 10.2903/j.efsa.2024.8753 (DOI) 10.2903/j.efsa.2025.9398 (DOI) 10.2903/j.efsa.2026.10054 (DOI) Is documented by 10.2903/sp.efsa.2019.EN-1544 (DOI) Is referenced by https://www.efsa.europa.eu/en/microstrategy/pesticides-dc-2017 (URL) https://www.efsa.europa.eu/en/microstrategy/pesticides-dc-2016 (URL) https://www.efsa.europa.eu/en/microstrategy/pesticides-dc-2015 (URL) Is supplemented by 10.5281/zenodo.1163629 (DOI) 10.5281/zenodo.1215986 (DOI) 10.5281/zenodo.1215887 (DOI) http://ec.europa.eu/food/plant/pesticides/eu-pesticides-database/public/?event=homepage&language=EN (URL) Subjects pesticide residues http://id.agrisemantics.org/gacs/C3009 food control http://id.agrisemantics.org/gacs/C1146 monitoring http://id.agrisemantics.org/gacs/C846 risk assessment http://id.agrisemantics.org/gacs/C1470 2K Views 1K Downloads Show more details All versions This version Views Total views 1,896 72 Downloads Total downloads 1,328 26 Data volume Total data volume 4.7 GB 67.5 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords pesticide residues food control monitoring maximum residue levels consumer risk assessment agriculture crops plant-protection products chemicals Estonia Details DOI DOI Badge DOI 10.5281/zenodo.20034543 Markdown [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.20034543.svg)](https://doi.org/10.5281/zenodo.20034543) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.20034543.svg :target: https://doi.org/10.5281/zenodo.20034543 HTML <a href="https://doi.org/10.5281/zenodo.20034543"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.20034543.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.20034543.svg Target URL https://doi.org/10.5281/zenodo.20034543 Resource type Dataset Publisher Zenodo Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. 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