Ahmadi Farhad, Karamian Ehsan
Nano Drug Delivery Research Center, Faculty of Pharmacy, Kermanshah Universityof Medical Sciences, Kermanshah, Iran. ; Pharmaceutical Chemistry Department, Faculty of Pharmacy, Kermanshah University of Medical Science, Kermanshah, Iran.
Pharmaceutical Chemistry Department, Faculty of Pharmacy, Kermanshah University of Medical Science, Kermanshah, Iran.
Iran J Pharm Res. 2014 Spring;13(2):417-29.
A molecular imprinted polymer (MIP) was computationally designed and synthesized for the selective extraction of metaproterenol (MTP), from human plasma. In this regards semi empirical MP3 and mechanical quantum (DFT) calculations were used to find a suitable functional monomers. On the basis of computational and experimental results, acrylic acid (AA) and DMSO:MeOH (90:10 %V/V) were found to be the best choices of functional monomer and polymerization solvents, respectively. This polymer was then used as a selective sorbent to develop a molecularly imprinted solid-phase extraction (MISPE) procedure followed by differential pulse voltammetry by using modified carbon nanotube electrode. The analysis was performed in phosphate buffer, pH 7.0. Peak currents were measured at +0.67 V versus Ag/AgCl. The linear calibration range was 0.026-8.0 μg mL(-1) with a limit of detection 0.01 μg mL(-1). The relative standard deviation at 0.5 μg mL(-1) was 4.76% (n=5). The mean recoveries of 5 μg mL(-1) MTP from plasma was 92.2% (n=5). The data of MISPE-DPV were compared with the MISPE-HPLC-UV. Although, the MISPE-DPV was more sensitive but both techniques have similar accuracy and precision.
通过计算机辅助设计并合成了一种分子印迹聚合物（MIP），用于从人血浆中选择性萃取间羟异丙肾上腺素（MTP）。为此，采用半经验MP3和机械量子（DFT）计算来寻找合适的功能单体。基于计算和实验结果，发现丙烯酸（AA）和二甲基亚砜：甲醇（90:10 %V/V）分别是功能单体和聚合溶剂的最佳选择。然后将该聚合物用作选择性吸附剂，开发了一种分子印迹固相萃取（MISPE）方法，随后使用修饰的碳纳米管电极进行差分脉冲伏安法分析。分析在pH 7.0的磷酸盐缓冲液中进行。相对于Ag/AgCl，在+0.67 V处测量峰电流。线性校准范围为0.026 - 8.0 μg mL⁻¹，检测限为0.01 μg mL⁻¹。在0.5 μg mL⁻¹时相对标准偏差为4.76%（n = 5）。从血浆中回收5 μg mL⁻¹ MTP的平均回收率为92.2%（n = 5）。将MISPE - DPV的数据与MISPE - HPLC - UV的数据进行了比较。虽然MISPE - DPV更灵敏，但两种技术具有相似的准确度和精密度。
