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利用预稳态动力学数据校准葡萄糖生物传感器。

Calibration of glucose biosensors by using pre-steady state kinetic data.

作者信息

Rinken T, Rinken A, Tenno T, Järv J

机构信息

Institute of Physical Chemistry, University of Tartu, Estonia.

出版信息

Biosens Bioelectron. 1998 Oct 1;13(7-8):801-7. doi: 10.1016/s0956-5663(98)00045-1.

DOI:10.1016/s0956-5663(98)00045-1
PMID:9828375
Abstract

A new method for biosensor calibration and data processing, allowing the prediction of steady state parameters from the analysis of transient response curves (Rinken et al., 1996. Analytical Letters 29, 859), has been evaluated in the case of an oxygen sensor based two-substrate enzyme electrode for glucose determination. The electrochemical glucose biosensor was prepared by covering the surface of oxygen sensor with glucose oxidase (EC 1.1.3.4) immobilized in nylon mesh. This decreased the oxygen flow to the sensor in the presence of glucose and resulted in time-dependent decrease of the biosensor signal. Except the lag period of the response in the beginning of the assay, the oxygen consumption by the immobilized enzyme was described by an exponential function: [formula: see text] The parameter C, which corresponded to the steady-state output of the biosensor, was found to be the most suitable for glucose determination. The non-linear fitting for data of over 1000 independent experiments to the equation above always revealed correlation coefficients greater than 0.97. The calculation of the steady state parameter from the transient phase data makes the analysis fast and precise, especially for sensors with thick membranes, being convenient to use in the case of enzyme electrodes. The theoretical essence of the parameter C also gives valuable information for the optimal design of biosensors.

摘要

一种用于生物传感器校准和数据处理的新方法,该方法可通过分析瞬态响应曲线来预测稳态参数(Rinken等人,1996年。《分析快报》29卷,859页),已在基于氧传感器的双底物酶电极测定葡萄糖的情况下进行了评估。电化学葡萄糖生物传感器是通过用固定在尼龙网中的葡萄糖氧化酶(EC 1.1.3.4)覆盖氧传感器表面制备的。在存在葡萄糖的情况下,这会减少流向传感器的氧气流量,并导致生物传感器信号随时间下降。除了测定开始时响应的延迟期外,固定化酶的耗氧量可用指数函数描述:[公式:见原文]发现与生物传感器稳态输出相对应的参数C最适合用于葡萄糖测定。对1000多个独立实验的数据进行上述方程的非线性拟合,相关系数始终大于0.97。从瞬态阶段数据计算稳态参数使分析快速且精确,特别是对于膜较厚的传感器,在酶电极的情况下使用方便。参数C的理论本质也为生物传感器的优化设计提供了有价值的信息。

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