Ning Fangjian, Peng Hailong, Li Jinhua, Chen Lingxin, Xiong Hua
State Key Laboratory of Food Science and Technology, Nanchang University , Nanchang 330047, People's Republic of China.
J Agric Food Chem. 2014 Jul 30;62(30):7436-43. doi: 10.1021/jf501845w. Epub 2014 Jul 22.
A novel nanosized substrate imprinted polymer (MIPs-GO-Fe3O4) was developed on a magnetic graphene oxide (GO-Fe3O4) surface for selective recognition and fast removal of 17β-estradiol (17β-E2). The characteristics of MIPs-GO-Fe3O4 were evaluated by transmission electron microscopy (TEM), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), Raman spectroscopy. and vibrating sample magnetometer (VSM). Results suggested that GO had a thin single-layer structure anchoring Fe3O4 nanoparticles and that the imprinted film was coated on the GO-Fe3O4 surface. MIPs-GO-Fe3O4 was sensitive to the magnetic field and could be easily separated using an external magnet. The adsorption results indicated that the kinetic value and binding capacity of MIPs-GO-Fe3O4 were 0.0062 g (mg·min)(-1) and 4.378 μmol g(-1), respectively. The Langmuir-Freundlich isotherm and pseudo-second-order kinetic models were the main adsorption mechanisms for MIPs-GO-Fe3O4. MIPs-GO-Fe3O4 showed excellent recognition selectivity, as well as enrichment and separation abilities for 17β-E2 in complex matrices. MIPs-GO-Fe3O4 was also used to analyze 17β-E2 in real food samples, and satisfactory recoveries such as 84.20% with relative standard deviation (RSD) of 4.67% at a spike of 0.5 μmol L(-1) were obtained. Thus, the MIPs-GO-Fe3O4-based method provided a convenient and practical platform for the separation, enrichment, and removal of 17β-E2 in food samples.
一种新型的纳米级基质印迹聚合物(MIPs-GO-Fe3O4)在磁性氧化石墨烯(GO-Fe3O4)表面制备而成,用于选择性识别和快速去除17β-雌二醇(17β-E2)。通过透射电子显微镜(TEM)、X射线衍射(XRD)、傅里叶变换红外光谱(FT-IR)、拉曼光谱和振动样品磁强计(VSM)对MIPs-GO-Fe3O4的特性进行了评估。结果表明,氧化石墨烯具有锚定Fe3O4纳米颗粒的薄单层结构,且印迹膜包覆在GO-Fe3O4表面。MIPs-GO-Fe3O4对磁场敏感,可通过外部磁铁轻松分离。吸附结果表明,MIPs-GO-Fe3O4的动力学值和结合容量分别为0.0062 g(mg·min)(-1)和4.378 μmol g(-1)。Langmuir-Freundlich等温线和准二级动力学模型是MIPs-GO-Fe3O4的主要吸附机制。MIPs-GO-Fe3O4对复杂基质中的17β-E2表现出优异的识别选择性以及富集和分离能力。MIPs-GO-Fe3O4还用于分析实际食品样品中的17β-E2,在加标量为0.5 μmol L(-1)时,获得了令人满意的回收率,如84.20%,相对标准偏差(RSD)为4.67%。因此,基于MIPs-GO-Fe3O4的方法为食品样品中17β-E2的分离、富集和去除提供了一个方便实用的平台。