Mohammadkhani Elham, Yamini Yadollah, Rezazadeh Maryam, Seidi Shahram
Department of Chemistry, Tarbiat Modares University, P. O. Box 14115-175, Tehran, Iran.
Department of Chemistry, Tarbiat Modares University, P. O. Box 14115-175, Tehran, Iran.
J Chromatogr A. 2016 Apr 22;1443:75-82. doi: 10.1016/j.chroma.2016.03.067. Epub 2016 Mar 24.
Electromembrane surrounded solid phase microextraction using conductive polymers as the sorbent is carried out for the first time for extraction of two antidepressants including amitriptyline (AMI) and doxepin (DOX), as model analytes. The polypyrrole coating was prepared and utilized as both cathode and SPME sorbent. Different variables such as the conditions for preparation of polypyrrole fiber, pH of the donor and the acceptor phases, applied voltage, and extraction time were optimized. Under the optimized conditions, figures of merit of the proposed method were investigated in human whole blood and urine samples. Intra- and inter-assay precisions ranged between 3.1-7.5% and 7.6-12.3%, respectively were obtained in different extraction media. Detection limits of 0.15 and 0.05 for AMI and 0.3 and 0.1 ng mL(-1) for DOX were achieved in the urine and blood samples, respectively. Linearity of the method was studied up to 50.0 ng mL(-1) for both analytes and coefficients of determination better than 0.9966 were achieved. Regardless of the high sample cleanup, which makes the proposed method suitable for analysis of drugs from complicated matrices, clean chromatograms were obtained. Finally, the proposed method was applied for analysis of AMI and DOX in different real samples and reasonable data were obtained.
首次采用以导电聚合物为吸附剂的电膜包围固相微萃取法萃取两种抗抑郁药,即作为模型分析物的阿米替林(AMI)和多塞平(DOX)。制备了聚吡咯涂层,并将其用作阴极和固相微萃取吸附剂。对聚吡咯纤维的制备条件、供体相和受体相的pH值、施加电压和萃取时间等不同变量进行了优化。在优化条件下,在人全血和尿液样本中研究了该方法的性能指标。在不同萃取介质中,批内和批间精密度分别在3.1 - 7.5%和7.6 - 12.3%之间。在尿液和血液样本中,AMI的检测限分别为0.15和0.05,DOX的检测限分别为0.3和0.1 ng mL(-1)。两种分析物的方法线性研究至50.0 ng mL(-1),测定系数均优于0.9966。该方法无需进行大量的样品净化处理,适用于复杂基质中药物的分析,且能获得干净的色谱图。最后,将该方法应用于不同实际样品中AMI和DOX的分析,获得了合理的数据。