在线实时质谱驱动的动态监测和最佳终点预测,用于草药制过程的方案开发
Junxian Wu1,2, Liping Kang2, Yutong Hua2
1School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
Chinese medicine
|March 17, 2026
概括
这项研究引入了一种在线实时质谱测量策略,用于监测传统草药. 它建立了一个最佳的终点预测方案,以提高草药的质量和安全性.
科学领域:
- 传统中国医药 传统中国医药
- 分析化学 分析化学
- 过程化学 过程化学
背景情况:
- 传统草药对于疗效和安全至关重要.
- 复杂的草药成分挑战实时监测和终点预测.
- 当前的技术难以应对草药中的动态变化.
研究的目的:
- 开发一个在线实时质谱测量 (ORT-MS) 策略,用于监测草药.
- 建立一个验证的方案来预测最佳的脱终点.
- 使用Zhenwu Decoction作为一个验证的案例研究.
主要方法:
- 建立了一个新的ORT-MS监控设备,用于持续分析.
- 在脱过程中量化跟踪有毒和生物活性化合物.
- 开发了一个五维图表 (SBTEF) 用于终点确定.
主要成果:
- 通过ORT-MS,可以长期 (>240分钟) 监测Zhenwu Decoction的成分.
- 创建了一种评估整体毒性/生物活性的方法.
- 鉴于安全性,生物活性,时间,能量和成本,最优的脱终点被确定为大约150分钟.
结论:
- 提出了一个通用的MS驱动的实时分析策略,用于草药.
- 引入了一种用于质量评估的新型终点预测方案.
- 提供一个科学工具,以提高草药的质量和临床使用.
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