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一个算法来评估食物中的的生物利用性.

Connie M Weaver1, Meryl Wastney2, Andrew Fletcher3

  • 1School of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA, United States.

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|December 10, 2023
PubMed
概括

一个新的算法通过考虑食物成分和酸盐和植物酸盐等抑制剂来预测的生物可用性. 该工具有助于评估个人和群体的饮食吸收.

关键词:
算法算法是一种算法.生物可用性 生物可用性和是最重要的.吸收吸收的时间需要的要求.

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科学领域:

  • 营养科学 营养科学
  • 人体生理学 人体生理学
  • 食品化学 食品化学

背景情况:

  • 的需求因年龄而异,并基于平均吸收率.
  • 个体的吸收受生理因素,饮食中的负荷和食物成分的影响.
  • 饮食中的生物可用性对于确定满足需求所需的实际摄入量至关重要.

研究的目的:

  • 为了提高预测的生物可用性.
  • 开发基于食物矩阵及其对吸收的影响的模型.

主要方法:

  • 分析了来自496次观察的吸收数据.
  • 使用同位素标记剂来确定从各种食物,饮料和强化食品中吸收.
  • 牛奶被用作参考来考虑宿主生理变异.

主要成果:

  • 开发了一种预测成年人生物可用性的算法.
  • 该算法包括负载,氧酸盐负载和植物酸盐负载.
  • 氧沙酸和花酸被确定为吸收的主要抑制剂.

结论:

  • 开发的算法有助于评估食物供应中的的可用性.
  • 它支持为个人和研究小组创建量身定制的饮食.
  • 该算法可以为公共卫生政策和干预措施提供信息,以打击不充分的摄入量.