通过使用双列UHPLC-MS的非目标代谢学来探索人类尿液中食量的生物标志物
Peiyu Li1, Chengwu Feng1, Wanning Shang1
1Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Food chemistry
|February 10, 2026
概括
研究人员使用先进的代谢学识别了新的生物标志物来跟踪子摄入量. 这种多生物标志物方法显著提高了确定最近水果消费的准确性.
科学领域:
- 代谢学 代谢学 代谢学
- 生物标志物发现发现
- 营养科学 营养科学
背景情况:
- 现有的水果摄入量生物标志物由于代谢覆盖和特异性有限,缺乏验证.
- 准确评估水果消费对于饮食研究和公共卫生至关重要.
研究的目的:
- 发现和验证色摄入量的新生物标志物.
- 根据最近的水果消费量来提高对个人分类的准确性.
主要方法:
- 使用双列超高性能液态染色体质谱法 (UHPLC-MS) 对色,体外消化样品和食后尿液的代谢学分析.
- 综合尿动曲线 (0-24h) 的密集统计分析,超过3万个特征.
- 使用XGBoost进行分类的多生物标志物面板的开发.
主要成果:
- 证实了三种已知的生物标志物 (阿基莱因,hesperetin,ferulic酸).
- 确定了九种新的子消费生物标志物候选者.
- 多种生物标志物面板在1-2天内实现了高预测性能 (0.85-0.90) 在分类色消费者.
结论:
- 双列UHPLC-MS与多生物标志物面板相结合,为食品生物标志物发现提供了一个强大的方法.
- 这种方法提高了饮食摄入量评估的准确性和应用性.
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