首页> 外文期刊>Biosensors & Bioelectronics: The International Journal for the Professional Involved with Research, Technology and Applications of Biosensers and Related Devices >2D-porphrinic covalent organic framework-based aptasensor with enhanced photoelectrochemical response for the detection of C-reactive protein
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2D-porphrinic covalent organic framework-based aptasensor with enhanced photoelectrochemical response for the detection of C-reactive protein

机译:基于卟啉的共价有机框架的Aptasensor具有增强的光电化学响应,用于检测C反应蛋白

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摘要

In this study, a novel photoelectrochemical (PEC) aptasensor based on two-dimensional (2D) porphyrinic covalent organic frameworks (p-COFs) for the label-free detection of C-reactive protein (CRP) is presented. The obtained p-COFs possess high conductivity and an improved stability due to strong and rigid covalent linkages. The introduction of p-COFs hinder the recombination of electrons and holes, decreasing their band gap (E-g), thereby which improved the photocurrent conversion efficiency. Compared with pure porphyrin, p-COFs exhibited enhanced photocurrent intensity. An amplified photocurrent conversion efficiency and enhanced photocurrent results from H2O2, which act as active molecules and electron donors. As an unprecedented application of COFs in PEC bioanalysis, the detection of CRP with a PEC aptasensor is presented. The assembly of a CRP aptamer on the surface of Ag nanoparticles hinders the electron transfer, resulting in the decrease of the photocurrent response. This PEC aptasensor exhibits good analytical performances such as a rapid response, high stability, wide linear range and excellent selectivity, making COFs promising candidates for PEC bioanalysis.
机译:在该研究中,提出了一种基于二维(2D)卟啉共价有机骨架(P-COF)的新型光电化学(PEC)Aptasensor用于无标记的C反应蛋白(CRP)的无标记检测。所得P-COF具有高导电性和由于强度和刚性的共价键而具有改善的稳定性。 P-COF的引入阻碍了电子和孔的重组,降低了它们的带隙(E-G),从而提高了光电流转换效率。与纯卟啉相比,P-COF表现出增强的光电流强度。高温电流转化效率和增强的H2O2的光电流结果,其用作活性分子和电子供体。作为PEC生物分析中的COF的前所未有的应用,提出了具有PEC Aptasensor的CRP的检测。 CRP适体在Ag纳米颗粒表面上的组装阻碍了电子转移,导致光电流响应的降低。这种PEC Aptasensor表现出良好的分析性能,例如快速响应,高稳定性,宽线性范围和优异的选择性,使COFS为PEC生物分析提供有希望的候选者。

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