Heliyon (Oct 2023)

Innovative and sustainable deconvoluted amplitude factor spectrophotometric method for the resolution of various severely overlapping pharmaceutical mixtures: Applying the complex-GAPI-tool

  • Maya S. Eissa,
  • Ahmed Elsonbaty,
  • Khaled Attala,
  • Randa A.Abdel Salam,
  • Ghada M.Hadad,
  • Mohamed A. Abdelshakour,
  • Aziza E.Mostafa

Journal volume & issue
Vol. 9, no. 10
p. e20152

Abstract

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UV spectroscopy is considered the simplest, the most money and time investor technique in analytical research. Besides its lowered solvent and energy consumption leading to greener outcomes, its practicality is wide and suitable for a wide range of applications. Multicomponent mixtures are always representing themselves as a problematic challenge for any analytical technique fortunately UV spectroscopic methods found many ways to tackle these mixtures. Fourier self-deconvolution (FSD) was recently applied in UV spectroscopy as an effective tool for the resolution of binary mixtures unfortunately like any other method may fail to completely resolve severely overlapping mixtures. In this paper, we epitomize the newly developed deconvoluted amplitude factor (DAF) spectrophotometric approach which couples the concepts of both the FSD and the amplitude factor methods for the resolution of tadalafil (TAD) in its binary mixtures with dapoxetine hydrochloride (DAP) or tamsulosin hydrochloride (TAM). The embraced approach was assessed regarding its greenness utilizing different assessing protocols to give evident proof for its sustainability. The innovative approach showed an enhancement in the resolution of binary mixtures and showed high sensitivity as noticed from limits of detection and quantitation which were (0.374, 1.136 μg/mL), (0.269, 0.817 μg/mL), and (0.518, 1.569 μg/mL) for TAD, DAP, and TAM, respectively. The method was validated as per ICH guidelines recommendations and also was statistically compared with recently reported methods which revealed no statistically significant difference. A very handy and reader-friendly data presentation approach was followed for the ease of statistical data interpretation and evaluation.

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