药用植物的快速认证:探索质谱成像对物种歧视的适用性
Lieyan Huang1, Lixing Nie2,3, Xianrui Wang2
1Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100006, P.R. China.
Journal of the American Society for Mass Spectrometry
|August 20, 2024
概括
质谱成像 (MSI) 现在可靠地使用空间标记来区分类似的药用植物物种,如Scutellaria baicalensis和Scutellaria rehderiana. 这种可复制的方法提高了宝贵植物资源的真实性.
科学领域:
- 植物科学 植物科学
- 分析化学是一种分析化学.
- 药理学是指药理学,即药理学是指药理学.
背景情况:
- 质谱成像 (MSI) 为植物研究提供了新的见解.
- 由于单批样本分析,MSI中的可复制性挑战限制了其在物种歧视中的应用.
- 跨批次的植物化学分布变化引发了关于MSI对身份验证的可靠性的问题.
研究的目的:
- 使用MSI来区分两个相似的植物物种Scutellaria baicalensis和Scutellaria rehderiana.
- 引入和验证"空间标记"概念,以可靠地确定植物物种的真实性.
- 开发和评估基于MSI的算法模型,用于快速识别药用植物.
主要方法:
- 利用质谱成像 (MSI) 来分析多个批次的S. baicalensis和S. rehderiana.
- 提出并应用"空间标记物"概念,识别具有一致的物种内部模式和明显的物种间差异的植物化学物质.
- 在组织上使用双重质谱和液体色谱-质谱测量用于空间标记物识别.
- 开发了一个随机森林模型,使用MSI光谱数据进行物种歧视,并通过外部样本进行验证.
主要成果:
- 在多个批次中证明了空间标记认证协议的可靠性和可重复性.
- 成功确定了区分S. baicalensis和S. rehderiana的特定空间标记.
- 建立了一个强大的随机森林模型,能够准确地区分两种物种.
- 证实了该模型对未知植物样本的强大推断能力.
结论:
- MSI与空间标记概念相结合,提供了一种可靠和可重复的方法,用于区分分类型上相似的药用植物.
- 开发的分析协议有助于快速准确地验证S. baicalensis和S. rehderiana的真实性.
- 这项研究强调了MSI在植物研究和药用植物认证中的显著分析适用性.
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