Institute for Biomaterials, Drug Delivery, and Regenerative Medicine, USA.
Analyst. 2017 Aug 21;142(17):3183-3193. doi: 10.1039/c7an00787f.
Due to the high cost and environmental instability of antibodies, there is precedent for developing synthetic molecular recognition agents for use in diagnostic sensors. While these materials typically have lower specificity than antibodies, their cross-reactivity makes them excellent candidates for use in differential sensing routines. In the current work, we design a set of charge-containing poly(N-isopropylacrylamide) (PNIPAM) nanogels for use as differential protein receptors in a turbidimetric sensor array. Specifically, NIPAM was copolymerized with methacrylic acid and modified via carbodiimide coupling to introduce sulfate, guanidinium, secondary amine, or primary amine groups. Modification of the ionizable groups in the network changed the physicochemical and protein binding properties of the nanogels. For high affinity protein-polymer interactions, turbidity of the nanogel solution increased, while for low affinity interactions minimal change in turbidity was observed. Thus, relative turbidity was used as input for multivariate analysis. Turbidimetric assays were performed in two buffers of different pH (i.e., 7.4 and 5.5), but comparable ionic strength, in order to improve differentiation. Using both buffers, it was possible to achieve 100% classification accuracy of eleven model protein biomarkers with as few as two of the nanogel receptors. Additionally, it was possible to detect changes in lysozyme concentration in a simulated tear fluid using the turbidimetric sensor array.
由于抗体的成本高和环境不稳定,因此开发用于诊断传感器的合成分子识别剂已有先例。虽然这些材料的特异性通常低于抗体,但它们的交叉反应性使它们成为差分感应常规的绝佳候选物。在当前的工作中,我们设计了一组带电荷的聚(N-异丙基丙烯酰胺)(PNIPAM)纳米凝胶,用作浊度传感器阵列中的差分蛋白受体。具体来说,将 NIPAM 与甲基丙烯酸共聚,并通过碳二亚胺偶联进行修饰,以引入硫酸根、胍基、二级胺或一级胺基团。网络中可离子化基团的修饰改变了纳米凝胶的物理化学和蛋白质结合特性。对于高亲和力的蛋白质-聚合物相互作用,纳米凝胶溶液的浊度增加,而对于低亲和力的相互作用,浊度几乎没有变化。因此,相对浊度被用作多元分析的输入。在两种不同 pH 值(即 7.4 和 5.5)但离子强度相当的缓冲液中进行浊度测定,以提高区分度。使用这两种缓冲液,仅使用两个纳米凝胶受体就可以实现对 11 种模型蛋白生物标志物的 100%分类准确性。此外,还可以使用浊度传感器阵列检测模拟泪液中溶菌酶浓度的变化。