FooDOxS: A Database of Oxidized Sterols Content in Foods

Ilce Gabriela Medina-Meza, Yashasvi Vaidya, Carlo Barnaba
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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.
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。
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