Novel spectrophotometric method for the analysis of ternary mixtures | ||
| ERU Research Journal | ||
| Volume 1, Issue 1, October 2022, Pages 75-92 PDF (538.98 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/erurj.2022.267925 | ||
| Authors | ||
| Ahmed Sayed Saad1; Abdallah M. Hamdy* 2; Hanan Merey1; Hany Ibrahim2 | ||
| 1Analytical Chemistry Department, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, Cairo, Egypt. ‎ | ||
| 2Analytical Chemistry Department, Faculty of Pharmacy, Egyptian Russian University, Badr City, Cairo, Egypt. | ||
| Abstract | ||
| Though simple, rugged and reliable classical spectrophotometric methods have not proven adequate selectivity in the analysis of ternary mixtures with overlapped spectral data. Recently emerging methods incorporates several steps of mathematical manipulations to resolve the spectral overlap. The work introduces the novel H-point derivative ratio method (HDR) and compares its performance with the recently developed dual wavelength in ratio spectrum (DWRS). The resolution power of the H-point standard additions and the derivative ratio methods-resolve binary mixtures-merge to engender the HDR for the analysis of ternary mixtures. HDR and DWRS methods were applied to resolve the severely overlapped spectral data of the ternary mixture: caffeine, propyphenazone and paracetamol. The latter is the first line antipyretic in COVID19 symptomatic relief. One-way ANOVA statistical analysis proved the absence of significant differences between the analytical results of HDR, DWRS and the reported method. Validation parameters were assessed according to the ICH guidelines. The developed HDR method expressed sensitivity and selectivity potentials for routine analysis of the analytes in their pure powder form, ternary mixture and pharmaceutical formulation without prior extraction or interference from additives. | ||
| Keywords | ||
| H-point derivative ratio method; Dual wavelength in ratio spectrum method; caffeine; propyphenazone; paracetamol | ||
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