通过使用H-NMR光谱学和化学模式识别分析来对Lonicerae Japonicae Flos和Lonicerae Flos进行分类和认证
Kaishuang Liu1, Yibao Jin1, Lifei Gu1
1NMPA Key Laboratory for Quality Research and Evaluation of Traditional Chinese Medicine, Shenzhen Institute for Drug Control, Shenzhen 518057, China.
Molecules (Basel, Switzerland)
|October 14, 2023
概括
核磁共振 (NMR) 光谱学与模式识别相结合,可以有效地区分Lonicerae japonicae flos和Lonicerae flos. 这种方法的准确度超过95%,确保了这些广泛使用的传统医药和食品成分的质量控制.
科学领域:
- 分析化学 分析化学
- 化学信息学 化学信息学
- 药理学是指药理学,它是指药理学.
背景情况:
- 鱼 (Lonicerae japonicae flos) 和鱼 (Lonicerae flos) 在全球食品和传统医学中非常受欢迎.
- 高需求和相似的外观导致频繁的混和改.
- 快速而全面的分析方法对于质量控制至关重要.
研究的目的:
- 开发和验证一种用于区分Lonicerae japonicae flos和Lonicerae flos的快速分析方法.
- 根据物种,生长方式 (野生与栽培) 和加工方法进行区分.
- 为了确定关键的化学标记,以便进行准确的分类.
主要方法:
- 使用质子核磁共振 (1H-NMR) 光谱学对100个样本进行比较分析.
- 化学模式识别技术的应用:主要组件分析 (PCA),部分最小平方区分分析 (PLS-DA),正交部分最小平方区分分析 (OPLS-DA) 和线性区分分析 (LDA).
- 使用LDA的尺寸缩小和分类模型开发.
主要成果:
- 线性差异分析 (LDA) 证明了对物种,生长模式和加工方法的高分类准确度 (>95.65%的预测准确度,>98.1%的交叉验证准确度).
- 鉴定出麦克兰托伊丁A,麦克兰托伊丁B和迪普萨科西德B作为Lonicerae japonicae flos和Lonicerae flos之间的关键区分.
- 确定了secoxyloganin,secologanoside和sweroside作为区分野生和栽培Lonicerae japonicae Flos.的标记.
结论:
- 1H-NMR光谱与化学模式识别相结合,为质量评估提供了强大而全面的方法.
- 这种方法为Lonicerae japonicae flos和Lonicerae flos.的质量控制提供了宝贵的见解.
- 该研究建立了一个可靠的分析框架,以防止改,并确保这些植物材料的真实性.
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