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基于电子眼睛,电子鼻子,HPLC和化学测量的原始和不同加工的Stellera chamaejasme L.之间的比较研究

Wenqi Hu¹, Xiaoran Zhao¹, Liying Liu¹

¹School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Phytochemical analysis : PCA

|July 1, 2025

概括

处理Stellera chamaejasme L. (SC) 根改变了它的颜色和化学化合物. 识别的标记物和相关性有助于评估降低毒性和标准化加工方法.

科学领域:

药理学是指药理学,即药理学是指药理学.
分析化学分析化学
化学测量化学测量化学测量

背景情况:

兰杜 (SSC),Stellera chamaejasme L.的根,在原始形式是有毒的.
经过加工的变种,如牛奶加工 (NSC),Terminalia chebula蒸加工 (HSC),葡萄酒加工 (JSC) 和加工 (CSC) 在临床上用于减轻毒性.

研究的目的:

为了区分各种加工的Stellera chamaejasme L. (SC) 产品.
分析不同加工方法的颜色,挥发性和非挥发性化合物的变化.

主要方法:

准备了五种不同的SC产品.
使用电子眼,电子鼻子和HPLC分析了彩色,挥发性和非挥发性化合物.
使用了多变量统计分析 (PCA,HCA,DFA,PLS-DA) 和相关性分析.

主要成果:

在五种SC产品中观察到颜色和化学配置的显著差异.
化学测量模型有效地区分了产品.
七种挥发性化合物和16种非挥发性化合物被确定为潜在的化学标记物,其具体变化是达芬尼丁,斯科波莱丁,贝根因和卡马赫罗蒙水平.
确定了颜色参数 (L*,a*,b*) 和特定化合物 (scopoletin,7-hydroxycoumarin,daphnetin,isopimpinellin) 之间的相关性.

结论:

使用化学测量模型的多维表征可靠地区分加工的SC产品.
已识别的化学标记物和相关性模式为评估毒性降低提供了基础.
这些发现支持SC处理用于临床应用的标准化.

关键词:

化学测量方法化学测量方法染色学指纹的指纹.相关性分析的相关性分析.电子眼睛电子眼睛电子鼻子电子鼻子多维分析技术是多维分析技术.定量分析量化分析

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