Smart Multivariate Spectrophotometric Determination of Two Co-Administered Autoimmune Drugs; Sulfasalazine and Pentoxifylline; in Bulk and Spiked Human Plasma
Maimana A Magdy, Nehal F Farid, Basma H Anwar, Nessreen S Abdelhamid- Pharmacology
- Agronomy and Crop Science
- Environmental Chemistry
- Food Science
- Analytical Chemistry
Abstract
Background
Sulfasalazine and pentoxifylline are co-prescribed together to treat psoriasis and pemphigus vulgaris. Sulfasalazine is anti-inflammatory, immunosuppressant and antibiotic drug. While, pentoxifylline is vasodilator and immunosuppressant. The spectra of the two drugs and plasma suffer from a severe overlap.
Objective
This work aims to simultaneously determine sulfasalazine and pentoxifylline in their binary mixture and spiked human plasma by the assessment of the UV spectral data.
Methods
Two model updated chemometric methods were established using principle component regression and partial least squares regression models. The two models were validated in accordance to the Food and Drug Administration guidelines for the bio-analysis and were applied for the determination of both drugs in synthetic mixtures or spiked human plasma.
Results
Good results of accuracy and precision were within the accepted limits. In addition, three different assessment methods were used to evaluate the environmental greenness of the proposed models.
Conclusion
The two updated models are simple, rapid, sensitive and precise and could be easily applied in quality control laboratories for determination of sulfasalazine and pentoxifylline, without any preliminary separation steps or interference from plasma matrix.
Highlights
Two model updated chemometric models called principle component regression and partial least squares regression were established for determination of sulfasalazine and pentoxifylline in spiked human plasma using UV spectrophotometric data.