对传统中医药的多变量HPLC系统评估和优化:一个关于Gastrodia elata的案例研究
Qilin Xu1, Xinyi Huo1, Xianggang Yin1
1School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China. wull815@zust.edu.cn.
Analytical methods : advancing methods and applications
|September 16, 2024
概括
开发HPLC方法用于传统中医 (TCM) 是复杂的. 使用加权主要组件 (WPC) 的新多变量测量系统分析 (MSA) 提高了HPLC系统对Gastrodia elata代谢物分析的准确性和可靠性.
科学领域:
- 分析化学 分析化学
- 药理学 药理学是指药理学的学科.
- 传统中国医药 传统中国医药
背景情况:
- 由于复杂的矩阵和协同效应,为传统中医 (TCM) 开发高性能液态染色学 (HPLC) 方法具有挑战性.
- 确保HPLC系统的可靠性和准确性对于TCM分析中的可重复结果至关重要.
- 多变量测量系统分析 (MSA) 需要评估具有多个相关质量特征的复杂分析系统.
研究的目的:
- 引入和评估基于权重主要组件 (WPC) 的多变量MSA方法,用于评估HPLC系统.
- 确定WPC-MSA方法对于分析Gastrodia elata中的代谢物的适用性.
- 优化HPLC条件并验证TCM代谢物确定分析方法.
主要方法:
- 使用加权主要组件 (WPC) 的多变量MSA被应用来评估HPLC系统.
- 完全因数和Box-Behnken实验设计用于因子识别和条件优化.
- 蒙特卡洛模拟和验证实验评估了系统的可靠性,准确性和精度.
主要成果:
- 基于WPC的MSA证明了可接受的系统性能,其可重复性和可重复性 (%R&R) 为26.43%,以及多个不同的类别 (ndc) 为5.
- 蒙特卡洛模拟证实了系统可靠性,其中%的R&R在19-22%之间,ndc值在6.07-7.38.3之间.
- 经过验证的HPLC方法显示出高精度和可靠性,RSD精度和稳定性<5%,恢复率>91%.
结论:
- 基于WPC的多变量MSA为评估TCM分析中的HPLC系统提供了一个强大的框架.
- 这种方法提高了复杂的自然产品分析方法的精度和可靠性.
- 该研究证实了WPC-MSA的适用性,以确保基于TCM的分析测量的质量和一致性.
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