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Multivariate curve resolution-alternating least squares to study the simultaneous release of Sumatriptan and Naproxen from the polymeric substrate

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Abstract

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).

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Authors and Affiliations

  1. Department of Analytical Chemistry, Faculty of Chemistry, Urmia University, Urmia, Iran

    Reza Dadashi, Morteza Bahram & Mehdi Moghtader

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  1. Reza Dadashi
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  2. Morteza Bahram
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  3. Mehdi Moghtader
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Correspondence to Morteza Bahram.

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Dadashi, R., Bahram, M. & Moghtader, M. Multivariate curve resolution-alternating least squares to study the simultaneous release of Sumatriptan and Naproxen from the polymeric substrate. J IRAN CHEM SOC 17, 953–962 (2020). https://doi.org/10.1007/s13738-019-01828-7

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  • DOI: https://doi.org/10.1007/s13738-019-01828-7

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