使用NIR光谱,HPLC和多变量数据分析,对Boswellia树脂中生物活性博斯韦利克酸的特定物种量化
Jakob Lauß1, Christoph Kappacher1, Olivia Isser1
1Institute of Analytical Chemistry and Radiochemistry, University of Innsbruck, Innrain 80-82, 6020 Innsbruck, Austria.
概括
这项研究引入了一种新的近红外光谱法,用于预测博斯韦利亚树脂中的博斯韦利酸含量. 这种具有成本效益的绿色化学方法为分析抗炎化合物提供了HPLC的替代方案.
科学领域:
- 植物化学 植物化学
- 分析化学 分析化学
- 自然产品 自然产品
背景情况:
- 博斯韦利亚树脂含有具有抗炎功能的生物活性博斯韦利克酸 (AKBA,KBA).
- 博斯韦利酸的含量在各个博斯韦利亚物种之间有很大差异.
- 目前HPLC对博斯韦利克酸的分析是资源和时间密集的.
研究的目的:
- 综合调查七种博斯韦利亚种的博斯韦利克酸含量.
- 开发和验证一种新的,非破坏性的近红外 (NIR) 光谱法,用于预测博斯韦利克酸度.
- 使用光谱学,根据它们的博斯韦利克酸特征区分博斯韦利亚物种.
主要方法:
- 通过HPLC-UV分析量化Acetyl-11-keto-β-boswellic acid (AKBA) 和11-keto-β-boswellic acid (KBA) 的含量.
- 近红外 (NIR) 光谱与主要成分分析 (PCA) 结合用于光谱分析.
- 使用NIR光谱与HPLC-UV参考数据进行部分最小平方 (PLS) 回归模型的开发.
主要成果:
- 在HPLC中,AKBA度高达7.27% (w/w),KBA度高达1.28% (w/w).
- PCA根据博斯韦利克酸含量和光谱数据区分了博斯韦利亚物种.
- 开发的NIR-PLS模型准确预测了AKBA含量 (RMSEP=0.74%,R2val=0.79),并提供了KBA的估计.
结论:
- 尼尔射线光谱为HPLC提供了一种具有成本效益,无溶剂和快速的替代方案,用于预测Boswellia树脂中的Boswellic酸含量.
- 该方法与绿色化学原理保持一致,并有可能用于小型化光谱仪的现场应用.
- 这种技术有助于物种差异化和Boswellia衍生产品的质量控制.
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