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基于由多面体低聚倍半硅氧烷组成的发光网络聚合物的脂肪酸异构体鉴别光学传感器的研制。

Development of the optical sensor for discriminating isomers of fatty acids based on emissive network polymers composed of polyhedral oligomeric silsesquioxane.

作者信息

Narikiyo Hayato, Kakuta Takahiro, Matsuyama Hiroki, Gon Masayuki, Tanaka Kazuo, Chujo Yoshiki

机构信息

Department of Polymer Chemistry, Graduate School of Engineering, Kyoto University, Katsura, Nishikyo-ku, Kyoto 615-8510, Japan.

Department of Polymer Chemistry, Graduate School of Engineering, Kyoto University, Katsura, Nishikyo-ku, Kyoto 615-8510, Japan.

出版信息

Bioorg Med Chem. 2017 Jul 1;25(13):3431-3436. doi: 10.1016/j.bmc.2017.04.029. Epub 2017 Apr 25.

Abstract

It was shown that water-soluble network polymers composed of polyhedral oligomeric silsesquioxane (POSS) had hydrophobic spaces inside the network because of strong hydrophobicity of the cubic silica cage. In this study, the water-soluble POSS network polymers connected with triphenylamine derivatives (TPA-POSS) were synthesized, and their functions as a sensor for discriminating the geometric isomers of fatty acids were investigated. Accordingly, in the photoluminescence spectra, different time-courses of intensity and peak wavelengths of the emission bands were detected from the TPA-POSS-containing solution in the presence of cis- or trans-fatty acids during incubation. Furthermore, variable time-dependent changes were obtained by changing coexisting ratios between two geometric isomers. From the mechanistic investigation, it was implied that these changes could be originated from the difference in the degree of interaction between the POSS networks and each fatty acid. Our data could be applicable for constructing a sensing material for generation and proportion of trans-fatty acids in the oil.

摘要

结果表明,由于立方二氧化硅笼具有很强的疏水性,由多面体低聚倍半硅氧烷(POSS)组成的水溶性网络聚合物在网络内部具有疏水空间。在本研究中,合成了与三苯胺衍生物相连的水溶性POSS网络聚合物(TPA-POSS),并研究了它们作为区分脂肪酸几何异构体的传感器的功能。因此,在光致发光光谱中,在孵育过程中,在顺式或反式脂肪酸存在下,从含TPA-POSS的溶液中检测到发射带强度和峰值波长的不同时间进程。此外,通过改变两种几何异构体之间的共存比例获得了随时间变化的变量。从机理研究来看,这些变化可能源于POSS网络与每种脂肪酸之间相互作用程度的差异。我们的数据可用于构建一种传感材料,用于检测油中反式脂肪酸的生成和比例。

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