Rapid ionic liquid-supported nano-hybrid composite reinforced hollow-fiber electromembrane extraction followed by field-amplified sample injection-capillary electrophoresis: An effective approach for extraction and quantification of Imatinib mesylate in human plasma

The focus of this study is development of a new, convenient, rapid and sensitive electromembrane extraction approach (based on an ionic liquid-supported MWCNTs/ZnO reinforced hollow fiber, for the first time) as an off-line sample clean-upipreconcentration method coupled with capillary electrophoresis (CE-UV) using field-amplified sample injection (FASI) for quantification of Imatinib mesylate in human plasma. The nano-hybrid sorbent, coated by 1-octyl-3-methylimidazolium bromide ionic liquid (E0M1m]Br) in this research, was prepared by a feasible basic catalyzed sol-gel method. Then, it was immobilized (supported by capillary forces and sonication) in pores of a segment of a polypropylene hollow fiber membrane as the extraction unit after dispersing in 2-nitrophenyl octyl ether (NPOE) solvent and subsequently served as the supported liquid membrane (SLM) composition. Significant variables affecting the proposed method were evaluated and optimized to achieve the maximum extraction performance. Optimal conditions were obtained by NPOE with 4 mg mL(-1) nano-sorbent as the SLM composition, 105 V as the driving force, pH 2 and 1.8 of the donor and acceptor phases, respectively, an extraction time of 15 min and an agitation rate of 800 rpm. The developed method was validated according to FDA guidelines. Regarding the validation results, the method is proved to be linear (R-2 = 0.998) over concentrations ranging from 25 to 1500 ng mL(-1) (LOD = 6.24 ng mL(-1)). The mean RSD values for intra- and inter-day precision studies were 6.83 and 7.71%, respectively and the mean recoveries ranged between 98 and 106%. Finally, the validated method was successfully applied for sensitive, selective and rapid determination of Imatinib in patient's plasma samples. (C) 2017 Elsevier B.V. All rights reserved.