火算法-PLS用于药品和血样本中奥尔梅沙坦和罗斯瓦斯塔丁的同步光分析
Saud Alqahtani1, Ali Alqahtani1, Taha Alqahtani1
1Department of Pharmacology, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.
概括
这项研究引入了一种用于同时量化奥尔梅沙坦和罗斯瓦斯塔丁的新型分析方法,为制药分析提供了更好的灵敏度和准确性. 开发的光谱化测量技术与化学建模为传统方法提供了更环保,更高效的替代方案.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 化学测量 化学测量 化学测量
背景情况:
- 同时确定奥尔梅沙坦和罗斯瓦斯塔丁对于治疗药物监测和质量控制至关重要.
- 传统方法经常面临光谱重叠的挑战,需要复杂的样本准备.
- 需要敏感,准确和环保的分析技术.
研究的目的:
- 开发和验证一种用于同时确定奥尔梅沙坦和罗斯瓦斯塔丁的新型分析方法.
- 为了克服光谱重叠问题,使用先进的化学测量建模.
- 为制药和生物医学应用建立一个更绿色,更实用的分析方法.
主要方法:
- 同步光谱测量与化学建模相结合 (火算法-部分最小方程回归,FA-PLS).
- 优化实验条件,包括溶剂 (乙醇) 和光增强剂 (SDS).
- 根据国际协调委员会 (ICH) 的指导方针进行验证,并应用于药物配方和血样本.
主要成果:
- FA-PLS方法显示了增强的灵敏度 (1.6和1.4倍增加) 和在ng/mL范围内较低的检测极限.
- 与传统的PLS相比,性能优越,隐性变量较少,预测准确度提高 (RRMSEP: 1.34 和 1.40).
- 证实了高恢复率 (99.87±1.02%的奥尔梅沙坦, 99.68±0.56%的罗斯瓦斯塔丁) 和方法对HPLC的同等性.
结论:
- 与FA-PLS开发的同步光谱测量方法提供了一个高度灵敏,准确和强大的方法,用于同时确定奥尔梅沙坦和罗斯瓦斯塔丁.
- 与HPLC相比,该方法表现出优越的绿色性和分析实用性,使其成为可持续的替代方案.
- 这种经过验证的方法适用于制药分析中的常规质量控制和生物医学应用.
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