丝网印刷碳电极/二氧化硅-二氧化铈电化学感应传感器优化的Box-Behnken实验设计

Salma Nur Zakiyyah, D. Eddy, M. L. Firdaus, T. Subroto, Y. Hartati
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引用次数: 0

摘要

本研究旨在通过Box-Behnken实验设计优化上皮钠通道(ENaC)电化学感应传感器。ENaC是一种在几种上皮组织中参与钠离子转运的蛋白,并与高血压有关。ENaC蛋白适体通过改性硅-铈复合材料(SiO2-CeO2)的丝网印刷碳电极(SPCE)固定在电化学适体传感器中。二氧化硅基体的独特结构具有较高的生物相容性,可通过水热工艺形成复合材料。Box-Behnken (BBD)试验设计是一种从三个层面对影响试验的因素进行优化的有效方法。硅-铈复合材料的FTIR结果分别为549.35 cm-1 (Ce-O)、1095.3 cm-1 (Si-O- si)和491.28 cm-1 (Si-O)。同时,用差分脉冲伏安法(DPV)表征SPCE/ sio2的峰值电流[Fe(CN)6]3-/4-从3.190 μA增加到9.073 μA。用BBD对适体浓度、链霉亲和素孵育时间、适体孵育时间三个实验因素进行优化,得到0.5 μg。mL-1, 30分钟,1小时。所观察到的最佳条件导致了ENaC蛋白检测的选择性电流响应。优化结果可应用于基于适配体的ENaC蛋白检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Box-Behnken Experimental Design for Electrochemical Aptasensor Optimization on Screen Printed Carbon Electrode/Silica-Ceria
This study aims to optimize the epithelial sodium channel (ENaC) electrochemical aptasensor with the Box-Behnken experimental design. ENaC is a protein that plays a role in sodium ion transport in several epithelial tissues and is associated with hypertension. The ENaC protein aptamer is held in place in the electrochemical aptasensor by a modified screen-printed carbon electrode (SPCE) of silica-ceria composite (SiO2-CeO2). The unique structure of a silica matrix with high biocompatibility can form composites through a hydrothermal process. The Box-Behnken (BBD) experimental design is an efficient optimization method of factors that affect the experiment at three levels. The FTIR results of the silica-ceria composites were 549.35 cm-1 (Ce-O), 1095.3 cm-1 (Si-O-Si), and 491.28 cm-1 (Si-O). Meanwhile, SPCE/silica-ceria characterized by differential pulse voltammetry (DPV) showed an increase in peak current [Fe(CN)6]3-/4- from 3.190 μA to 9.073 μA. Three experimental factors, aptamer concentration, streptavidin incubation time, and aptamer incubation time, were optimized with BBD and obtained at 0.5 μg.mL-1, 30 minutes, and 1 hour. The optimum conditions observed resulted in a selective current response for ENaC protein detection. The optimization results can be applied to aptamer-based ENaC protein detection in samples.
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CiteScore
0.80
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