Determination of Gemcitabine and Sorafenib in Spiked Human Plasma Using Multivariate Model Update Chemometric Methods
| Autor: | Marco M Z Sharkawi, Norhan R Mohamed, Mohammed T El-Saadi, Noha H Amin |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Journal of AOAC International. |
| ISSN: | 1944-7922 1060-3271 |
| DOI: | 10.1093/jaoacint/qsad062 |
| Popis: | Background Gemcitabine (GEM), a pyrimidine nucleoside, has been used as a first line treatment in non-small cell lung cancer (NSCLC). Sorafenib (SOR), a non-selective multi kinase inhibitor, is used as a chemotherapeutic agent in different types of cancers including NSCLC in preclinical studies. Co-administration of GEM and SOR was found to be effective and well tolerable in treatment of NSCLC. Objective The aim of the present work is to determine the studied drugs in spiked human plasma simultaneously through resolving the overlapping spectra and removing the interference of the plasma matrix. Methods Two updated chemometric models were developed using UV absorbance of the drugs which named principal component regression (PCR) and partial least squares (PLS) for determination of GEM and SOR in the ranges of 5–25 and 2–22 µg/mL, respectively. Results Validation of the two updated models has been achieved in accordance with US Food and Drug Administration (FDA) guidelines and results were satisfactory. The two methods had advantages of high predictive ability of the studied drugs with high precision and accuracy. Moreover, there was no significant difference obtained when statistical comparison was done between the developed and reported methods showing good validity of the suggested methods. Conclusion The two updated models have advantages of being rapid, accurate, sensitive and cost effective for determination of GEM and SOR in quality control laboratories without any need for initial separation procedures. Highlights Two updated chemometric methods named PCR and PLS, were developed for estimation of GEM and SOR in spiked human plasma using their UV absorbance data. |
| Databáze: | OpenAIRE |
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