Ning Fangjian, Qiu Tingting, Wang Qi, Peng Hailong, Li Yanbin, Wu Xiaqing, Zhang Zhong, Chen Linxin, Xiong Hua
State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China.
State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China; Department of Biological & Agricultural Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
Food Chem. 2017 Apr 15;221:1797-1804. doi: 10.1016/j.foodchem.2016.10.101. Epub 2016 Oct 24.
Novel nano-sized dummy-surface molecularly imprinted polymers (DSMIPs) on a magnetic graphene oxide (GO-FeO) surface were developed as substrates, using propionamide as a dummy template molecule for the selective recognition and rapid pre-concentration and removal of acrylamide (AM) from food samples. These products showed rapid kinetics, high binding capacity (adsorption at 3.68mg·g), and selectivity (imprinting factor α 2.83); the adsorption processes followed the Langmuir-Freundlich isotherm and pseudo-second-order kinetic models. Excellent recognition selectivity toward acrylamide was achieved compared to structural analogs, such as propionic and acrylic acids (selectivity factor β 2.33, and 2.20, respectively). Moreover, DSMIPs-GO-FeO was used to quantify acrylamide in food samples, yielding satisfactory recovery (86.7-94.3%) and low relative standard deviation (<4.85%). Thus, our DSMIPs-GO-FeO-based procedure was demonstrated to be a convenient and practical method for the separation, enrichment, and removal of acrylamide from food samples.
新型磁性氧化石墨烯（GO-FeO）表面的纳米级虚拟表面分子印迹聚合物（DSMIPs）被开发为底物，使用丙酰胺作为虚拟模板分子，用于从食品样品中选择性识别、快速预浓缩和去除丙烯酰胺（AM）。这些产品表现出快速动力学、高结合容量（吸附量为3.68mg·g）和选择性（印迹因子α为2.83）；吸附过程遵循朗缪尔-弗伦德利希等温线和准二级动力学模型。与结构类似物如丙酸和丙烯酸相比，对丙烯酰胺具有优异的识别选择性（选择性因子β分别为2.33和2.20）。此外，DSMIPs-GO-FeO用于定量食品样品中的丙烯酰胺，回收率令人满意（86.7-94.3%），相对标准偏差低（<4.85%）。因此，我们基于DSMIPs-GO-FeO的方法被证明是一种从食品样品中分离、富集和去除丙烯酰胺的方便实用方法。
