实地实施近红外定量方法,用于在热带环境中分析药物
Christelle Ange Waffo Tchounga1,2, Roland Djang'eing'a Marini1, Emmanuel Nnanga Nga2
1Department of Pharmacy, University of Liège (ULiège), CIRM, ViBra-Santé hub, Laboratory of Pharmaceutical Analytical Chemistry, Liège, Belgium.
Applied spectroscopy
|September 22, 2023
概括
手持近红外 (NIR) 光谱学有效量化药物在低资源设置. 开发并验证了西普罗夫洛克萨和美特罗尼达的方法,即使在转移到不同的气候后,也证明了对现场分析的稳定性.
科学领域:
- 分析化学 分析化学
- 制药科学 制药科学
- 频谱学是一种光谱学.
背景情况:
- 近红外 (NIR) 光谱是检测不合格药物的经过验证的技术.
- 低成本的手持NIR光谱仪提供快速,廉价的药物分析,特别是在资源有限的地区.
研究的目的:
- 开发,验证和转移方法,用手持NIR光谱仪量化西普罗夫洛克萨和美特罗尼达片.
- 评估不同气候区的定量部分最小平方回归 (PLSR) 模型的稳定性.
主要方法:
- 使用传输模式 (NIR-M-T1) 的手持NIR光谱仪对西普罗夫洛克萨和美特罗尼达片进行定量分析.
- 部分最小平方回归 (PLSR) 算法的应用,用于化学建模.
- 使用总错误方法与准确性概况 (±10%规格,5%风险) 的验证.
- 从温带气候到热带气候区的方法转移,采用增强策略来提高模型的稳定性.
主要成果:
- PLSR模型最初在温带气候中得到验证,然后转移到热带气候中.
- 增强策略改善了热带气候中的模型预测准确性.
- 在喀麦隆的实地分析发现了两个不符合标准的样本,通过高性能液态染色学 (HPLC) 证实了这一点.
结论:
- 手持NIR光谱,加上PLSR和适当的增强策略,提供了一个强大的和可靠的方法,用于药物的实地量化.
- 开发的方法适用于在资源较少的环境中对西普罗夫洛克萨和美特罗尼达的质量控制.
- 环境因素可能会影响NIR模型的性能,需要强大的方法转移策略.
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