The use of the efficient drug delivery systems in combinatorial or multi-drug treatment of complicated diseases for effective and target-specific delivery of therapeutic agents necessitates the use of the fast and reliable analytical techniques to reveal the true release profiles of the investigated drugs. The knowledge about the release kinetics of the drugs from different substrates and the effective parameters on this process can be obtained by mathematical modeling of release profiles which is a difficult and cost-effective task in multi-drug delivery processes because of the difficulty in the simultaneous determination of multiple release profiles. In this study, a kinetic-spectrophotometric analytical methodology has been proposed for the simultaneous determination of release profiles of Sumatriptan and Naproxen, two widely used drugs in migraine treatment which use MCR-ALS for the decomposition of the release data matrices. The obtained release profiles have been subjected to mathematical modeling for further determination of release mechanisms. It has been shown that the MCR-ALS effectively decomposes the data matrices (more than 97% of explained variance) and Korsmeyer–Peppas and Ritger–Peppas models can well describe the release behavior of drugs from the investigated substrate (R² > 0.99 for both compounds and acceptable low SSE values).

中文翻译：

---

多元曲线分辨率-交替最小二乘以研究舒马曲坦和萘普生同时从聚合物底物中释放的情况

有效的药物输送系统在复杂疾病的组合或多药治疗中的有效和目标特异性的治疗药物的使用，需要使用快速可靠的分析技术来揭示所研究药物的真实释放情况。关于药物从不同底物释放动力学的知识以及此过程中的有效参数，可以通过对释放曲线进行数学建模来获得，这在多药物输送过程中是一项困难且具有成本效益的任务，因为难以同时进行确定多个释放曲线。在这项研究中，提出了一种动力学分光光度分析方法，用于同时测定舒马曲坦和萘普生的释放曲线，两种在偏头痛治疗中广泛使用的药物，它们使用MCR-ALS来分解释放数据矩阵。对获得的释放曲线进行了数学建模，以进一步确定释放机理。研究表明，MCR-ALS有效地分解了数据矩阵（超过97％的解释方差），Korsmeyer-Peppas和Ritger-Peppas模型可以很好地描述药物从被研究底物中的释放行为（ 对于两种化合物和可接受的低SSE值，R ² > 0.99。