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使用硅光子微环谐振器实时测量聚合物刷动力学:分析物分配和内部刷动力学。

Real-Time Measurement of Polymer Brush Dynamics Using Silicon Photonic Microring Resonators: Analyte Partitioning and Interior Brush Kinetics.

机构信息

Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States.

Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.

出版信息

Langmuir. 2020 Sep 8;36(35):10351-10360. doi: 10.1021/acs.langmuir.0c01336. Epub 2020 Aug 27.

Abstract

Polymer brushes are found in biomedical and industrial technologies, where they exhibit functionalities considerably dependent on polymer brush-solvent-analyte interactions. It remains a difficult challenge to quickly analyze solvent-swollen polymer brushes, both at the solvent-polymer brush interface and in the brush interior, as well as to monitor the kinetics of interaction of solvent-swollen brushes with key analytes. Here, we demonstrate the novel use of silicon photonic microring resonators to characterize swollen polymer brush-analyte interactions. By monitoring resonant wavelength shifts, we find that brush-solvent-analyte interaction parameters can be extracted from a single set of data or from successive analyte introductions using a single brush-coated sensor. The partition coefficient of three industrially relevant plasticizers into hydrophobic and hydrophilic brushes was determined and found to be in agreement with known solubility trends. We found that the diffusion coefficient of the plasticizer into the brush decreases as brush thickness increases, supporting a model of a dense inner brush layer and diffuse outer layer. p's of pH-sensitive brushes were determined on the microring resonator platform; upon increasing the dry brush thickness, the p for poly(2-dimethylamino ethyl methacrylate) decreased from 8.5 to approach the bulk material p of 7.3 and showed dependence on the presence and concentration of salt. These proof-of-concept experiments show how the surface-sensitive nature of the microring resonator detection platform provides valuable information about the interaction of the polymer brushes with the solvents and analytes, not easily accessed by other techniques.

摘要

聚合物刷在生物医学和工业技术中都有应用,它们的功能很大程度上取决于聚合物刷-溶剂-分析物的相互作用。快速分析溶剂溶胀聚合物刷,无论是在溶剂-聚合物刷界面还是在刷内部,以及监测溶剂溶胀刷与关键分析物相互作用的动力学,仍然是一个具有挑战性的问题。在这里,我们展示了硅光子微环谐振器在表征溶胀聚合物刷-分析物相互作用方面的新应用。通过监测共振波长的移动,我们发现可以从单个数据集或使用单个刷涂传感器的连续分析物引入中提取刷-溶剂-分析物相互作用参数。三种工业相关增塑剂在疏水性和亲水性刷中的分配系数被确定,并且与已知的溶解度趋势一致。我们发现,随着刷厚度的增加,增塑剂在刷中的扩散系数减小,这支持了一个密集的内层刷层和扩散的外层刷层的模型。在微环谐振器平台上测定了 pH 敏感刷的 p 值;随着干刷厚度的增加,聚(2-二甲氨基乙基甲基丙烯酸酯)的 p 值从 8.5 降低到接近 7.3 的体材料 p 值,并表现出对盐的存在和浓度的依赖性。这些概念验证实验表明,微环谐振器检测平台的表面敏感性如何为聚合物刷与溶剂和分析物的相互作用提供了有价值的信息,而这些信息是其他技术难以获得的。

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