Wangchareansak Thipvaree, Thitithanyanont Arunee, Chuakheaw Daungmanee, Gleeson M Paul, Lieberzeit Peter A, Sangma Chak
Department of Chemistry, Faculty of Science, Kasetsart University, Chatuchak, Bangkok, Thailand.
J Mater Chem B. 2013 Apr 28;1(16):2190-2197. doi: 10.1039/c3tb00027c. Epub 2013 Mar 11.
In this work, we apply a molecular imprinting strategy as a screening protocol for different influenza A subtypes, namely H5N1, H5N3, H1N1, H1N3 and H6N1. Molecularly imprinted polymers for each of these subtypes lead to appreciable sensor characteristics on a quartz crystal microbalance leading to detection limits as low as 10 particles per ml. Selectivity studies indicate that each virus is preferably incorporated by its own MIP. Recognition in most cases is dominated by the neuraminidase residue rather than the hemagglutinin. Multivariate analysis shows that the sensor responses can be correlated with the differences in hemagglutinin and neuraminidase patterns from databases. This allows for virus subtype characterization and thus rapid screening.
在这项工作中,我们应用分子印迹策略作为针对不同甲型流感亚型(即H5N1、H5N3、H1N1、H1N3和H6N1)的筛选方案。针对这些亚型中的每一种制备的分子印迹聚合物在石英晶体微天平上展现出可观的传感器特性,检测限低至每毫升10个颗粒。选择性研究表明,每种病毒优先被其自身的分子印迹聚合物结合。在大多数情况下,识别主要由神经氨酸酶残基而非血凝素主导。多变量分析表明,传感器响应可与数据库中血凝素和神经氨酸酶模式的差异相关联。这使得能够对病毒亚型进行表征,从而实现快速筛选。