عنوان
Automated EME-DLLME Method on a disk
نویسنده (گان)
Karami,Monireh;Yamini,Yadollah
چکیده مقاله
Recent developments in clinical examination have heightened the need for small and portable devices using little amount of sample. A fascinating goal of miniaturization of analytical instrumentation is the development of micro total analysis systems (μTAS) which are capable of nearly autonomous analysis of samples. Centrifugal microfluidic (CM) devices which are one of the microfluidic platforms make use of centrifugal force for flow control. These devices, which most often take the general form of compact disks (CDs), can be made portable and have very low power usage [1]. Dispersive liquid-liquid microextraction (DLLME) and Electromembrane extraction (EME) are two of the most popular microextraction techniques [2, 3]. With combination of the methods, the advantages of these methods can be utilized. In this work we designed a centrifugal microfluidic device (CMD) to miniaturize and integrate the two popular conventional methods on a disk. The device consists of 6 extracting units and each unit includes an EME chamber, a chamber for extracting solvent and chamber for DLLME and also phases separation. The analysis was performed by using a GC instrument with MS detection. To demonstrate the performance of the device, amitriptyline and its active metabolism, nortriptyline, were used. The parameters of EME method including composition of organic solvent used in porous membrane, pH of acceptor and donor phases, applied voltage, and extraction time and effective parameters of DLLME including kind of extracting and dispersive solvent and also volume of extracting and dispersive solvent were optimized. The optimal conditions of on-disk EME-DLLME were applied in human plasma, urine and saliva. Satisfactory analytical figures of merit including linear dynamic range and limits of detection in the range of 50-1000 ng mL−1 and 70-1000 ng mL−1 and extraction recoveries (38.5–28.6%) were obtained for amitriptyline and nortriptyline respectively with correlation coefficient higher than 0.9948.

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