Concomitant analysis of dasatinib and curcuminoids in a pluronic-based nanoparticle formulation using a novel HPLC method

Alarjah, Mohammed; Shahin, Mostafa; Al-Azzah, Firas; Alarjah, Abdallah A.; Omran, Ziad

doi:10.1007/s10337-020-03956-2

Cited by 2 publications

(1 citation statement)

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“…Moreover, analytical methods were accepted as an integral part of medical and patient treatment in most treatment systems in different countries [ 10 , 11 , 12 ]. Many analytical methods were suggested to determine anticancer drugs such as DA in biological and pharmaceutical samples such as high-performance liquid chromatography (HPLC) [ 13 , 14 , 15 , 16 ], spectroscopic strategies [ 17 ], liquid chromatography mass spectrometry (LC-MS) [ 18 ] and electrochemical sensors [ 19 , 20 , 21 ]. Although chromatographic methods have long been used for this purpose, their use was hampered by the disadvantages such as the use of toxic solvents, the need for a skilled operator, and the inability to convert portable kits [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

A New Electrochemical Platform for Dasatinib Anticancer Drug Sensing Using Fe3O4-SWCNTs/Ionic Liquid Paste Sensor

2021

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A new electrochemical platform was suggested for the sensing of the dasatinib (DA) anticancer drug based on paste electrode modification (PE) amplified with Fe3O4-SWCNTs nanocomposite and 1-hexyl-3-methylimidazolium tetrafluoroborate (mim-BF4−). The new platform showed a linear dynamic range from 0.001–220 µM with a detection limit of 0.7 nM to determine DA at optimal condition. Electrochemical investigation showed that the redox reaction of DA is relative to changing the pH of solution. Moreover, Fe3O4-SWCNTs/mim-BF4−/PE has improved the oxidation current of DA about 5.58 times which reduced its oxidation potential by about 120 mV at optimal condition. In the final step, Fe3O4-SWCNTs/mim-BF4−/PE was used as an analytical platform to determine the DA in tablets and a dextrose saline spike sample, and the results showed recovery data 99.58–103.6% which confirm the powerful ability of the sensor as an analytical tool to determine the DA in real samples.

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