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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
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Statistical analysis of chlorate occurrence data in food

Authors: Giuseppe Antonio Triacchini;

Statistical analysis of chlorate occurrence data in food

Abstract

In accordance with Article 29 (1) (a) of Regulation (EC) No 178/2002, the European Commission asked the European Food Safety Authority (EFSA) in 2014 for a scientific opinion on the risks for human health related to the presence of chlorate in food from all sources, taking also into account its presence in drinking water. The opinion found that “Chronic exposure of adolescent and adult age classes did not exceed the TDI. However, at the 95th percentile the TDI was exceeded in all surveys in ‘Infants’ and ‘Toddlers’ and in some surveys in ‘Other children’. Chronic exposures are of concern in particular in younger age groups with mild or moderate iodine deficiency.” Food manufacturers have started to optimise their manufacturing processes to lower chlorate residue level in foods and the European Commission in 2017 provided a revised Guidance document on good hygiene practices regarding the use of chlorinated disinfectant. It can therefore be expected that chlorate levels in foods are now lower compared with the levels found in the samples from 2011 to 2014. The European Commission (EC) requested EFSA in 2018 to provide an updated statistical analysis on chlorate occurrence levels in foods. A set of 14 Excel tables containing the statistical analysis of reported results for the analysis of chlorates from pesticides monitoring and contaminants monitoring programmes have been prepared. The data is presented at three levels of aggregation using FoodEx product categories. Analysis was performed for two time points, the 2011-2017 dataset contained 15,741 valid results and the 2015-2017 dataset contained 28,033 valid results. Mean, median and percentile (75th, 90th, 95th) for lower bound, middle bound and upper bound concentration values were calculated. Caution should be applied to percentile values calculated from a limited number of results.

{"references": ["EFSA, 2015, Risks for public health related to the presence of chlorate in food, EFSA Journal 2015;13(6):4135, doi: 10.2903 j.efsa.2015.4135", "Commission notice on guidance document on addressing microbiological risks in fresh fruits and vegetables at primary production through good hygiene, OJ C 163, 23.5.2017, p. 1", "General SSD guidance: EFSA Journal 2010; 8(1):1457 doi: 10.2903", "Official catalogues of SSD controlled terminologies: DOI 10.5281/zenodo.1163629", "Reporting data on pesticide residues in food and feed according to Regulation (EC) No 396/2005 (2016 data collection) - EFSA Journal 2017;15(5):4792 - DOI: 10.2903", "Reporting data on pesticide residues in food and feed according to Regulation (EC) No 396/2005 (2015 data collection) EFSA Journal 2016;14(5):4496 - DOI: 10.2903", "Reporting data on pesticide residues in food and feed according to Regulation (EC) No 396/2005 (2014 data collection) - EFSA Journal 2015;13(7):4195 - - DOI: 10.2903"]}

EU; XLSX; data.collection@efsa.europa.eu

Keywords

monitoring, chlorinated disinfectant, food samples, pesticides, chlorate, occurrence

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selected citations
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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).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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