Faculty of Mathematics and Informatics, Vilnius University, Didlaukio 47, LT-08303 Vilnius, Lithuania.
Institute of Biochemistry, Vilnius University, Mokslininku 12, LT-08662 Vilnius, Lithuania.
Sensors (Basel). 2014 Feb 7;14(2):2578-94. doi: 10.3390/s140202578.
In this paper, an amperometric glucose biosensor is modeled numerically. The model is based on non-stationary reaction-diffusion type equations. The model consists of four layers. An enzyme layer lies directly on a working electrode surface. The enzyme layer is attached to an electrode by a polyvinyl alcohol (PVA) coated terylene membrane. This membrane is modeled as a PVA layer and a terylene layer, which have different diffusivities. The fourth layer of the model is the diffusion layer, which is modeled using the Nernst approach. The system of partial differential equations is solved numerically using the finite difference technique. The operation of the biosensor was analyzed computationally with special emphasis on the biosensor response sensitivity to oxygen when the experiment was carried out in aerobic conditions. Particularly, numerical experiments show that the overall biosensor response sensitivity to oxygen is insignificant. The simulation results qualitatively explain and confirm the experimentally observed biosensor behavior.
本文对安培型葡萄糖生物传感器进行了数值建模。该模型基于非稳态反应-扩散型方程。模型由四层组成。酶层直接位于工作电极表面上。酶层通过涂覆有聚乙烯醇(PVA)的聚酯膜附着在电极上。该膜被建模为具有不同扩散率的 PVA 层和聚酯层。模型的第四层是扩散层,使用 Nernst 方法对其进行建模。使用有限差分技术对偏微分方程组进行数值求解。通过计算着重分析了生物传感器在有氧条件下的运行情况,特别分析了生物传感器对氧气的响应灵敏度。数值实验表明,氧气对整个生物传感器响应的灵敏度可以忽略不计。模拟结果从定性上解释并验证了实验观察到的生物传感器行为。