使用DMF修饰的丝网印刷碳电极伏安法测定临床血清样品中的尿酸

IF 2.3 Q3 ELECTROCHEMISTRY
Melaku Metto, Samrawit Eramias, Bekele Gelagay, Alemayehu P Washe
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引用次数: 12

摘要

丝网印刷碳电极(SPCE)为临床样品中敏感和选择性测定目标分析物提供了有吸引力的机会。目前工作的目的是开发基于SPCEs的传感器,用于测定临床血清样品中的尿酸。电极通过在N,N-二甲基甲酰胺中浸泡5分钟进行预处理,然后在100°C的烘箱中干燥20分钟。用循环伏安法表征了表面预处理的效果。在微分脉冲伏安测量中,与未修饰的电极相比,尿酸检测的电流响应提高了3.5倍。在优化条件下,传感器显示出5-100μM和100-500μM两个动态线性范围,相关系数R2分别为0.98782和0.97876。使用5-100μM的动态线性范围计算的检测限和定量限分别为1.9 x 10−7M和6.33 x 10−7M。在存在潜在干扰物质(抗坏血酸和柠檬酸)的情况下,所开发的传感器显示出良好分离和辨别的UA峰。该电极成功应用于在磷酸盐缓冲溶液(pH=7)中检测临床血清样品中非常低水平的UA。所提出的传感器显示出非常高的再现性和重复性,相对标准偏差为0.9%。总之,开发了一种基于SPCEs的简单低成本传感器,用于灵敏和选择性地检测临床样品中的尿酸。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Voltammetric Determination of Uric Acid in Clinical Serum Samples Using DMF Modified Screen Printed Carbon Electrodes
Screen printed carbon electrodes (SPCEs) provide attractive opportunity for sensitive and selective determination target analytes in clinical samples. The aim of the current work was to develop SPCEs based sensor for the determination of uric acid in clinical serum samples. The electrodes were pretreated by soaking in N,N-dimethylformamide for 5 minutes followed by drying in an oven at 100°C for 20 mins. The effect of surface pretreatment was characterized using cyclic voltammetry. The current response of uric acid detection was improved by a factor of 3.5 in differential pulse voltammetric measurement compared to unmodified electrode. Under the optimized conditions, the sensor displayed two dynamic linear ranges 5-100 μM and 100-500 μM with correlation coefficient, R2, values of 0.98782 and 0.97876, respectively. The limit of detection and limit of quantification calculated using the dynamic linear range 5-100 μM were 1.9 x 10−7 M and 6.33 x 10−7 M, respectively. The developed sensor displayed well separated and discerned peaks for UA in presence of the potential interferent (ascorbic acid and citric acid). The electrode was successfully applied for the detection of very low level of UA in clinical serum samples in a phosphate buffer solution (pH = 7). The proposed sensor showed a very high reproducibility and repeatability with the relative standard deviation of 0.9%. In conclusion, a simple and low cost sensor based on SPCEs is developed for sensitive and selective detection of uric acid in clinical samples.
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