Department of Computer Engineering, Quchan Branch, Islamic Azad University, Quchan 9479176135, Iran.
Department of Chemical Engineering, Quchan Branch, Islamic Azad University, Quchan 9479176135, Iran.
Sensors (Basel). 2023 Sep 29;23(19):8180. doi: 10.3390/s23198180.
The objective of this study is to create a reliable predictive model for the electrochemical performance of self-powered biosensors that rely on urea-based biological energy sources. Specifically, this model focuses on the development of a human energy harvesting model based on the utilization of urea found in sweat, which will enable the development of self-powered biosensors. In the process, the potential of urea hydrolysis in the presence of a urease enzyme is employed as a bioreaction for self-powered biosensors. The enzymatic reaction yields a positive potential difference that can be harnessed to power biofuel cells (BFCs) and act as an energy source for biosensors. This process provides the energy required for self-powered biosensors as biofuel cells (BFCs). To this end, initially, the platinum electrodes are modified by multi-walled carbon nanotubes to increase their conductivity. After stabilizing the urease enzyme on the surface of the platinum electrode, the amount of electrical current produced in the process is measured. The optimal design of the experiments is performed based on the Taguchi method to investigate the effect of urea concentration, buffer concentration, and pH on the generated electrical current. A general equation is employed as a prediction model and its coefficients calculated using an evolutionary strategy. Also, the evaluation of effective parameters is performed based on error rates. The obtained results show that the established model predicts the electrical current in terms of urea concentration, buffer concentration, and pH with high accuracy.
本研究的目的是为基于尿素生物能源的自供电生物传感器的电化学性能创建一个可靠的预测模型。具体而言，该模型侧重于基于汗液中发现的尿素开发基于人体能量收集的模型，这将使自供电生物传感器的开发成为可能。在这个过程中，利用尿素酶存在下的尿素水解的潜力作为自供电生物传感器的生物反应。该酶反应产生可用于为生物燃料电池（BFC）供电并充当生物传感器能源的正电势差。该过程为自供电生物传感器（BFC）提供了所需的能量。为此，首先通过多壁碳纳米管对铂电极进行修饰以提高其导电性。在铂电极表面稳定脲酶酶之后，测量过程中产生的电流。基于田口法进行实验的最佳设计，以研究尿素浓度、缓冲液浓度和 pH 值对产生的电流的影响。使用一般方程作为预测模型，并使用进化策略计算其系数。还基于误差率对有效参数进行评估。结果表明，所建立的模型可以高精度地预测电流与尿素浓度、缓冲液浓度和 pH 值之间的关系。
