Literature-Based Inventory of Chemical Substance Concentrations Measured in Organic Food Consumed in Europe

Data Pub Date : 2024-07-03 DOI:10.3390/data9070089
Joanna Choueiri, Pascal Petit, Franck Balducci, Dominique J. Bicout, Christine Demeilliers
{"title":"Literature-Based Inventory of Chemical Substance Concentrations Measured in Organic Food Consumed in Europe","authors":"Joanna Choueiri, Pascal Petit, Franck Balducci, Dominique J. Bicout, Christine Demeilliers","doi":"10.3390/data9070089","DOIUrl":null,"url":null,"abstract":"Populations are exposed daily to numerous environmental pollutants, particularly through food. To address environmental issues, many agricultural production methods have been developed, including organic farming. To date, there is no exhaustive inventory of the contamination of organic foods as there is for conventional foods. The main objective of this work was to construct a growing and updatable database on chemical substances and their levels in organic foods consumed in Europe. To this end, a literature search was conducted, resulting in a total of 1207 concentration values from 823 food–substances pairs involving 166 food matrices and 209 chemical substances, among which 95% were not authorized in organic farming and 80% were pesticides. The most encountered substance groups are “inorganic contaminants” and “organophosphate”, and the most studied food groups are “fruit used as fruit” and “Cereals and cereal primary derivatives”. Further studies are needed to continue updating the database with robust and comprehensive data on organic food contamination. This database could be used to study the health risks associated with these contaminants.","PeriodicalId":502371,"journal":{"name":"Data","volume":" 33","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/data9070089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Populations are exposed daily to numerous environmental pollutants, particularly through food. To address environmental issues, many agricultural production methods have been developed, including organic farming. To date, there is no exhaustive inventory of the contamination of organic foods as there is for conventional foods. The main objective of this work was to construct a growing and updatable database on chemical substances and their levels in organic foods consumed in Europe. To this end, a literature search was conducted, resulting in a total of 1207 concentration values from 823 food–substances pairs involving 166 food matrices and 209 chemical substances, among which 95% were not authorized in organic farming and 80% were pesticides. The most encountered substance groups are “inorganic contaminants” and “organophosphate”, and the most studied food groups are “fruit used as fruit” and “Cereals and cereal primary derivatives”. Further studies are needed to continue updating the database with robust and comprehensive data on organic food contamination. This database could be used to study the health risks associated with these contaminants.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于文献的欧洲有机食品中化学物质浓度清单
人们每天都会接触到许多环境污染物,尤其是通过食物接触到的污染物。为了解决环境问题,人们开发了许多农业生产方法,包括有机耕作。迄今为止,还没有像传统食品那样详尽的有机食品污染清单。这项工作的主要目的是建立一个不断扩大和可更新的数据库,记录欧洲有机食品中的化学物质及其含量。为此,我们进行了文献检索,从 823 个食品-物质配对中获得了 1207 个浓度值,涉及 166 种食品基质和 209 种化学物质,其中 95% 在有机农业中未经授权,80% 为杀虫剂。遇到最多的物质类别是 "无机污染物 "和 "有机磷",研究最多的食物类别是 "用作水果的水果 "和 "谷物和谷物初级衍生物"。需要开展进一步研究,继续更新数据库,提供有关有机食品污染的可靠而全面的数据。该数据库可用于研究与这些污染物有关的健康风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants Bootstrap Method as a Tool for Analyzing Data with Atypical Distributions Deviating from Parametric Assumptions: Critique and Effectiveness Evaluation SaBi3d—A LiDAR Point Cloud Data Set of Car-to-Bicycle Overtaking Maneuvers Data Descriptor of Snakebites in Brazil from 2007 to 2020 Optimizing Database Performance in Complex Event Processing through Indexing Strategies
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1