对影响化诺的云点提取因素的化学评估
Aleksandra Michałowska1, Olga Kupczyk1, Andrzej Czyrski1
1Department of Physical Pharmacy and Pharmacokinetics, Poznań University of Medical Sciences, Rokietnicka 3 Street, 60-806 Poznań, Poland.
Pharmaceutics
|June 28, 2023
概括
这项研究优化了诺基诺抗生素的云点提取,识别了Triton X-114度和pH等关键因素,以增强西普洛素,莱沃素和莫西素的恢复.
科学领域:
- 分析化学 分析化学
- 环境科学 环境科学
背景情况:
- 诺基诺抗生素 (西普罗夫洛克萨,莱沃弗洛克萨,莫西弗洛克萨) 需要有效的提取方法进行分析.
- 云点提取 (CPE) 是一种有前途的技术,用于从复杂矩阵中分离和预先缩分析物.
研究的目的:
- 调查和优化影响西普罗素,莱沃素和莫西素云点提取 (CPE) 的因素.
- 使用CPE.确定影响这些抗生素恢复率的最重要的变量.
主要方法:
- 云点提取 (CPE) 与高性能液体染色学 (HPLC) 结合用于量化.
- 中央复合设计 (CCD) 和响应表面方法 (RSM) 用于因素分析和优化.
- 验证HPLC方法的线性,精度和准确性,使用ANOVA进行统计分析.
主要成果:
- 该研究确定了Triton X-114度作为levofloxacin恢复的主要因素,以及ciprofloxacin和moxifloxacin恢复的pH值.
- 优化的条件产生了很高的恢复率:百分之60的西普罗夫洛克萨,百分之75的勒沃弗洛克萨,和百分之84的莫西弗洛克萨.
- 回归方程准确地预测了优化的恢复值.
结论:
- 开发的CPE方法使用CCD和RSM进行了优化,对于提取诺基诺来说是有效的.
- 该研究验证了统计模型用于分析和优化提取参数的使用,增强了分析方法的开发.
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