School of Engineering, Computing, and Science, Swinburne University of Technology, Sarawak Campus, Jalan Simpang Tiga, 93350 Kuching, Sarawak, Malaysia.
Anal Chim Acta. 2011 Oct 10;703(2):226-33. doi: 10.1016/j.aca.2011.07.032. Epub 2011 Jul 29.
Despite the increasing number of usage of molecularly imprinted polymers (MIPs) in optical sensor application, the correlation between the analytical signals and the binding isotherms has yet to be fully understood. This work investigates the relationship between the signals generated from MIPs sensors to its respective binding affinity variables generated using binding isotherm models. Two different systems based on the imprinting of metal ion and organic compound have been selected for the study, which employed reflectance and fluorescence sensing schemes, respectively. Batch binding analysis using the standard binding isotherm models was employed to evaluate the affinity of the binding sites. Evaluation using the discrete bi-Langmuir isotherm model found both the MIPs studied have generally two classes of binding sites that was of low and high affinities, while the continuous Freundlich isotherm model has successfully generated a distribution of affinities within the investigated analytical window. When the MIPs were incorporated as sensing receptors, the changes in the analytical signal due to different analyte concentrations were found to have direct correlation with the binding isotherm variables. Further data analyses based on this observation have generated robust models representing the analytical performance of the optical sensors. The best constructed model describing the sensing trend for each of the sensor has been tested and demonstrated to give accurate prediction of concentration for a series of spiked analytes.
尽管分子印迹聚合物（MIPs）在光学传感器应用中的使用越来越多，但分析信号与结合等温线之间的相关性尚未完全理解。本工作研究了基于金属离子和有机化合物印迹的两种不同体系的信号与使用结合等温线模型生成的相应结合亲和力变量之间的关系。分别采用反射率和荧光传感方案进行研究。使用标准结合等温线模型进行批量结合分析，以评估结合位点的亲和力。离散双朗缪尔等温线模型的评估发现，所研究的两种 MIPs 通常都具有两种结合位点，分别具有低亲和性和高亲和性，而连续弗伦德利希等温线模型成功地在研究的分析窗口内生成了亲和力分布。当 MIPs 被用作传感受体时，由于不同分析物浓度引起的分析信号变化被发现与结合等温线变量直接相关。基于此观察的进一步数据分析生成了代表光学传感器分析性能的稳健模型。已经测试并证明了描述每个传感器传感趋势的最佳构建模型能够对一系列加标分析物的浓度进行准确预测。
