FooDOxS: A Database of Oxidized Sterols Content in Foods

Ilce Gabriela Medina-Meza, Yashasvi Vaidya, Carlo Barnaba
{"title":"FooDOxS: A Database of Oxidized Sterols Content in Foods","authors":"Ilce Gabriela Medina-Meza, Yashasvi Vaidya, Carlo Barnaba","doi":"10.1101/2023.11.15.23298592","DOIUrl":null,"url":null,"abstract":"This research addresses the knowledge gap regarding dietary oxidized lipids (DOxS) in foods classified under the NOVA and WWEIA systems. We present the FooDOxS database, a comprehensive compilation of DOxS content in over 1,680 food items from 120 publications across 25 countries, augmented by internal lab data. Our analysis discerns DOxS exposure in diverse diets, differentiating between plant-based and animal-based sources. Notably, we evaluate the efficacy of NOVA and WWEIA classifications in capturing DOxS variations across food categories. Our findings provide insights into the strengths and limitations of these systems, enhancing their utility for assessing dietary components. This research contributes to the understanding of DOxS in food processing and suggests refinements for classification systems, holding promise for improved food safety and public health assessments.","PeriodicalId":501073,"journal":{"name":"medRxiv - Nutrition","volume":"176 11 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Nutrition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2023.11.15.23298592","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

This research addresses the knowledge gap regarding dietary oxidized lipids (DOxS) in foods classified under the NOVA and WWEIA systems. We present the FooDOxS database, a comprehensive compilation of DOxS content in over 1,680 food items from 120 publications across 25 countries, augmented by internal lab data. Our analysis discerns DOxS exposure in diverse diets, differentiating between plant-based and animal-based sources. Notably, we evaluate the efficacy of NOVA and WWEIA classifications in capturing DOxS variations across food categories. Our findings provide insights into the strengths and limitations of these systems, enhancing their utility for assessing dietary components. This research contributes to the understanding of DOxS in food processing and suggests refinements for classification systems, holding promise for improved food safety and public health assessments.
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
食品中氧化甾醇含量数据库
本研究解决了在NOVA和WWEIA系统分类的食物中膳食氧化脂(DOxS)的知识差距。我们介绍了FooDOxS数据库,该数据库全面汇编了来自25个国家120种出版物的1,680多种食品的DOxS内容,并辅以内部实验室数据。我们的分析辨别了不同饮食中的DOxS暴露,区分了植物性和动物性来源。值得注意的是,我们评估了NOVA和WWEIA分类在捕获不同食品类别DOxS变化方面的功效。我们的研究结果为这些系统的优势和局限性提供了见解,增强了它们在评估膳食成分方面的实用性。这项研究有助于理解食品加工中的DOxS,并建议改进分类系统,有望改善食品安全和公共卫生评估。
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
Randomized dose–response trial of n–3 fatty acids in hormone receptor negative breast cancer survivors—impact on breast adipose oxylipin and DNA methylation patterns Advertising ultra-processed foods around urban and rural schools in Kenya Estimated morbimortality and costs attributable to child and adolescent obesity in Brazil from 2024 to 2060: a multistate life table study Integrating co-design into formative research for a SBCC entry-point platform for nutrition-sensitive social protection programs in low -and middle-income country settings. A Qualitative Study on Food Taboos Among Rural Pregnant Women in Bangladesh: Motivators for Adherence and Influencers of Taboo-Breaking Behavior
×
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