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Electrochemical Detection of Peroxynitrite Using a Biosensor Based on a Conducting Polymer−Manganese Ion Complex

机译:使用基于导电聚合物-锰离子配合物的生物传感器对亚硝酸盐进行电化学检测

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摘要

A peroxynitrite (ONOO-) biosensor has been developednthrough the preparation of a new manganese-[poly-n2,5-di-(2-thienyl)-1H-pyrrole)-1-(p-benzoicacid)](Mn-pDPB)ncomplex. DPB monomer was first synthesized andnpolymerized for the purpose of providing a polymernbackbone for complex formation with Mn2+ ion. ThenMn-pDPB complex was characterized via MagnetomotivenForce (MMF) simulation, X-ray photoelectronnspectroscopy (XPS), and cyclic voltammetry. The complexnselectively enhanced the reduction process ofnONOO- which was used as the analytical signal fornchronoamperometric detection. A polyethyleneimminen(PEI) layer was coated on the complex surface tonincrease selectivity and stability. The chronoamperometricncalibration plot showed the hydrodynamic rangenof 2.0 × 10-8-5.0 × 10-7 M. The detection limit wasndetermined to be 1.9 ((0.2) × 10-9 M based on S/Nn) 3. The microbiosensor, fabricated on a 100 μmndiameter Pt tip, was applied in a real rat plasmansample for the detection of spiked concentrations ofnONOO-. The reliability and long-term stability of thenmicrobiosensor was also examined with YPEN-1 cellsnin vitro, and the results shown were promising.
机译:通过制备新型锰-[聚-n2,5-二-(2-噻吩基)-1H-吡咯)-1-(对苯甲酸)(Mn-pDPB),开发了一种过氧亚硝酸盐(ONOO-)生物传感器。 ncomplex。为了提供与Mn 2+离子复合形成的聚合物骨架,首先合成并聚合了DPB单体。然后通过磁电动势(MMF)模拟,X射线光电子能谱(XPS)和循环伏安法对Mn-pDPB配合物进行了表征。络合物选择性地增强了nONOO-的还原过程,该还原过程用作计时安培检测的分析信号。聚乙烯亚胺(PEI)层涂覆在复杂的表面上,从而提高了选择性和稳定性。计时电流法校准图显示了2.0×10-8-5.0×10-7 M的流体力学范围。确定的检测极限为1.9(基于S / Nn的((0.2)×10-9 M))3。将100μm直径的Pt尖端应用于真实的大鼠血浆样品中,以检测nONOO-的加标浓度。体外用YPEN-1细胞检测了该微生物传感器的可靠性和长期稳定性,结果表明该方法是有希望的。

著录项

  • 来源
    《Analytical Chemistry》 |2010年第24期|p.10075-10082|共8页
  • 作者单位

    Department of Chemistry, Institute of BioPhysio Sensor Technology and Department of Biological Sciences, PusanNational University, Busan 609-735, Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-17 13:36:54

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