首页> 外文期刊>Journal of Electroanalytical Chemistry: An International Journal Devoted to All Aspects of Electrode Kinetics, Interfacial Structure, Properties of Electrolytes, Colloid and Biological Electrochemistry >Amplification of amperometric biosensor responses by electrochemical substrate recycling Part I. Theoretical treatment of the catechol-polyphenol oxidase system
【24h】

Amplification of amperometric biosensor responses by electrochemical substrate recycling Part I. Theoretical treatment of the catechol-polyphenol oxidase system

机译:通过电化学底物回收放大安培生物传感器响应第一部分。儿茶酚-多酚氧化酶系统的理论处理

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

The sensitivity of enzyme electrodes can be increased substantially by incorporation of a substrate recycling scheme. One possible strategy to achieve this goal is based on amperometric enzyme electrodes involving during the transduction step an electrochemical recycling of enzyme substrate. In this kind of device, the shuttle analyte is not only measured once but is reconverted to be measured again leading to an amplification of the transduction signal. In this paper we present a theoretical analysis of this kind of device using the catechol-polyphenol oxidase model system immobilized as an enzyme layer at the surface of a rotating-disk electrode. For low concentrations of substrate, which correspond to practical conditions, we derive analytical expressions for the response of such a sensor. On the basis of the model, we are able to quantify the respective influence of mass transport, partition coefficient, enzyme and electron transfer kinetics on the metrological characteristics of the bioelectrode. This is especially relevant when optimizing biosensor construction.
机译:通过结合底物回收方案,可以大大提高酶电极的灵敏度。实现该目标的一种可能策略是基于电流型酶电极,在转导步骤中涉及酶底物的电化学循环。在这种设备中,航天飞机分析物不仅被测量了一次,而且被转换以再次被测量,从而导致了转导信号的放大。在本文中,我们使用固定在旋转盘电极表面的酶层作为邻苯二酚-多酚氧化酶模型系统,对这种装置进行了理论分析。对于与实际条件相对应的低浓度底物,我们推导出了此类传感器响应的解析表达式。在该模型的基础上,我们能够量化质量传递,分配系数,酶和电子转移动力学对生物电极计量学特征的各自影响。在优化生物传感器构造时,这尤其重要。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号