整合多式联络数据融合以进行全面的表征,发现抗氧化剂标记物和追踪Platycodonis Radix的地理来源
Yizheng Sun1, Hongxu Zhang2, Yifan Li1
1State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Food chemistry
|February 6, 2026
概括
通过使用综合化学分析和高光谱成像 (HSI) 来提高Platycodonis Radix (PR) 的质量控制. 这种多模式的方法准确地评估抗氧化剂标记物,并追踪功能性食品成分的地理来源.
科学领域:
- 食品科学 食品科学 食品科学
- 分析化学 分析化学
- 化学测量 化学测量 化学测量
背景情况:
- 根据原产地和年龄,Platycodonis Radix (PR) 的质量有很大的差异,这阻碍了一致的质量控制.
- 对于这种重要的功能性食品成分,需要标准化的评估方法.
研究的目的:
- 开发一个强大的框架来评估PR质量,识别抗氧化剂标记物,并实现地理可追溯性.
- 整合化学分析,频谱效应分析和多模式数据融合 (HSI和MS).
主要方法:
- 使用UPLC-MS/MS和UPLC-Triple-TOF-MS/MS进行了综合性化合物识别和半量化.
- DPPH和ABTS测定评估的抗氧化活性,加上频谱效应分析以确定关键的抗氧化剂标记物.
- 中级数据融合集成量化的抗氧化剂标记,HSI光谱和图像纹理.
主要成果:
- 确定了206种化合物,其中140种半量化;确定和量化了24种关键抗氧化剂标记物.
- 集成多式联运数据的堆叠组合模型实现了93.33%的准确性,精度,回忆和F1分数超过96%.
- 多式联网方法在准确性和预测能力方面超过了单式联网模型.
结论:
- 开发的框架提供了一种可靠的方法,用于Platycodonis Radix的化学分析和功能质量评估.
- 这种综合方法提高了PR和类似植物材料的地理可追溯性和质量控制.
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