Omid Ramezani Azghandi, M. Maghrebi, A. Teymourtash
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引用次数: 4
摘要
本文采用多壁碳纳米管(MWCNTs)、金纳米颗粒(GNp)和葡萄糖氧化酶(GOD)制备葡萄糖特异性检测材料。采用H2SO4-HNO3预处理对MWCNTs进行化学修饰,引入羧基,分别通过1-乙基-3-(3-二甲氨基丙基)碳二亚胺/ n -羟基琥珀酰亚胺交联反应与聚烯丙胺(PAA)和半胱胺的氨基相互作用。将清洗后的Pt电极分别浸入PAA、MWCNTs、半胱胺和GNp中,然后吸附GOD,在Pt电极(GOD/GNp/MWCNTs/Pt电极)表面组装成一层薄膜,与铂辅助电极和参比电极Ag/AgCl(阴极)一起作为工作电极(阳极)。工作电极含有PH = 4、6和8酶的磷酸缓冲盐水(PBS)。葡萄糖浓度和PBS pH设计通过QUALTEK-4软件测量进行测试和分析。实验结果和软件分析表明,随着浓度的增加,产电流的流量增加,pH值偏离中性范围会降低流量。最佳条件为浓度为1 mmol/lit和pH =6。在最佳条件下进行确认试验,得到的产率为21.67 mA,相对于应用的预期误差率计算为8.1%。这一错误率说明测试的准确性具有较高的灵敏度和准确性。
Modification of Glucose biosensor using Pt/MWCNTs electrode and optimization by application of taguchi method
In this paper, multi-wall carbon nanotubes (MWCNTs), gold nanoparticles (GNp) and glucose oxidase (GOD) was developed for the specific detection of glucose. MWCNTs were chemically modified with the H2SO4–HNO3 pretreatment to introduce carboxyl groups which were used to interact with the amino groups of poly(allylamine) (PAA) and cysteamine via 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide/N-hydroxysuccinimide cross-linking reaction, respectively. A cleaned Pt electrode was immersed in PAA, MWCNTs, cysteamine and GNp, respectively, followed by the adsorption of GOD, assembling the one layer of films on the surface of Pt electrode (GOD/GNp/MWCNTs/Pt electrode) and was used as working electrodes (anode) along with a platinum auxiliary electrode and the reference electrode Ag/AgCl (cathode). Working electrode was containing the Phosphate-buffered saline (PBS) with PH = 4, 6 and 8 enzyme. Glucose concentration and PBS pH design has been tested and analyzed by QUALTEK-4 software measure. According to the performed experiments and software analysis, with increasing concentration, the flow rate of current production is increased and pH deviance from neutral range reduces the flow. Optimal conditions was obtained in concentrations 1 mmol/lit and pH =6, respectively. After confirmation tests in optimum conditions, the rate of production was obtained, 21.67 mA, which with respect to the expected error rate of application, it was calculated to be 8.1% . This error rate demonstrates that the accuracy of tests is with high sensitivity and accuracy.