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Current Pharmaceutical Analysis

Editor-in-Chief

ISSN (Print): 1573-4129
ISSN (Online): 1875-676X

Review Article

Analytical Methods for the Quantification of Cisplatin, Carboplatin, and Oxaliplatin in Various Matrices over the Last Two Decades

Author(s): Hajer Hrichi *, Noura Kouki and Haja Tar

Volume 18, Issue 5, 2022

Published on: 13 January, 2022

Page: [455 - 490] Pages: 36

DOI: 10.2174/1573412918666210929105058

Price: $65

Abstract

Background: Platinum derivatives, including cisplatin and its later generations carboplatin, and oxaliplatin remain the most largely used drugs in the therapy of malignant diseases. They exert notable anticancer activity towards numerous types of solid tumors such as gastric, colorectal, bladder, ovary, and several others. The chemotherapeutic activity of these compounds, however, is associated with many unwanted side effects and drug resistance problems, limiting their application and effectiveness. Proper dosage is still an inherent problem, as these drugs are usually prescribed in small doses.

Objective: Several analytical methods have been reported for the accurate quantification of cisplatin, carboplatin, and oxaliplatin and their metabolites either alone or in combination with other chemotherapeutic drugs, in different matrices, such as pharmaceutical formulations, biological fluids, cancer cells, and environmental samples. The main goal of this review is to systematically study the analytical methods already used for the analysis of cisplatin, carboplatin, and oxaliplatin in various matrices during the last two decades.

Results and Conclusion: In the literature, reviews showed that numerous analytical methods, such as electroanalytical, UV-visible spectrophotometry, chromatographic, fluorescence, atomic absorption spectrophotometry, and other spectroscopic methods combined with mass spectrometry were used for the determination of these compounds in various matrices.

Keywords: Chemotherapy, cisplatin, carboplatin, oxaliplatin, analytical methods, biological fluids.

Graphical Abstract
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