谷歌浏览器插件
订阅小程序
在清言上使用

FooDOxS: A Database of Oxidized Sterols Content in Foods

medrxiv(2023)

引用 0|浏览1
暂无评分
摘要
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. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement This study was partially funded by the Center for Research Ingredients Safety (CRIS) of Michigan State University with the GR100229 grant, and the USDA National Institute of Food and Agriculture, Hatch project MICL02526 to I.G.M.M. Y.V. was partially funded by the EnSURE program (2022 and 2023) from Michigan State University. ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes All data produced are available online at the FHEL GitHub webpage.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要