Lach Patrycja, Sharma Piyush Sindhu, Golebiewska Karolina, Cieplak Maciej, D'Souza Francis, Kutner Wlodzimierz
Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224, Warsaw, Poland.
Department of Chemistry, University of North Texas, 1155 Union Circle, #305070, Denton, TX, 76203-5017, USA.
Chemistry. 2017 Feb 3;23(8):1942-1949. doi: 10.1002/chem.201604799. Epub 2017 Jan 6.
A molecularly imprinted polymer (MIP)-based chemosensor for the selective determination of a chosen toxin, N-nitroso-l-proline (Pro-NO), was devised and fabricated. By means of DFT, the structure of the pre-polymerization (functional monomer)-template complex was modeled. This complex was then potentiodynamically electropolymerized in the presence of cross-linking monomer to form a MIP-Pro-NO thin film. Next, the Pro-NO template was extracted from MIP-Pro-NO with 0.1 m NaOH. Piezoelectric microgravimetry (PM) on an electrochemical quartz crystal microbalance and electrochemical (differential pulse voltammetry (DPV) and electrochemical impedance spectroscopy (EIS)) techniques were used to transduce binding of Pro-NO to molecular cavities of the MIP-Pro-NO. With DPV and EIS chemosensing, the limits of detection (LODs) were about 80.9 and 36.9 nM Pro-NO, respectively; and the selectivity coefficients for urea, glucose, creatinine, and adrenalin interferences were 6.6, 13.2, 2.1, and 2.0, respectively, with DPV as well as 2.3, 2.0, 3.3, and 2.5, respectively, with EIS. With PM under flow injection analysis conditions, the LOD was 10 μm Pro-NO. The MIP-Pro-NO chemosensor detectability and selectivity with respect to interferences were sufficiently high to determine Pro-NO in protein-providing food products.
设计并制备了一种基于分子印迹聚合物(MIP)的化学传感器,用于选择性测定特定毒素N-亚硝基-L-脯氨酸(Pro-NO)。借助密度泛函理论(DFT)对预聚合(功能单体)-模板复合物的结构进行了建模。然后在交联单体存在下,通过电位动力学方法对该复合物进行电聚合,形成MIP-Pro-NO薄膜。接下来,用0.1 m NaOH从MIP-Pro-NO中提取Pro-NO模板。采用电化学石英晶体微天平上的压电微重力分析(PM)以及电化学(差分脉冲伏安法(DPV)和电化学阻抗谱(EIS))技术来传导Pro-NO与MIP-Pro-NO分子腔的结合。通过DPV和EIS化学传感,检测限(LOD)分别约为80.9和36.9 nM Pro-NO;对于尿素、葡萄糖、肌酐和肾上腺素干扰物的选择性系数,DPV法分别为6.6、13.2、2.1和2.0,EIS法分别为2.3、2.0、3.3和2.5。在流动注射分析条件下,PM法的LOD为10 μm Pro-NO。MIP-Pro-NO化学传感器对干扰物的检测能力和选择性足够高,能够测定蛋白质类食品中的Pro-NO。