Selective Differential Pulse Voltammetry Determination of Uric Acid in Clinical Urine Samples Using Copper Oxide Nanoparticles Modified Pencil Graphite Electrodes

Author:

Hirbo Hirbo Geremew1,Kuse Kenenisa Abdisa1,Hola Roba Nebi1

Affiliation:

1. Bule Hora University

Abstract

Abstract The level of uric acid (UA) in clinical samples serves as a useful test in the diagnosis of related health disorders such as gout, hypertension & cardiovascular diseases, sclerosis, Alzheimer’s disease & optic neuritis. Interference by coexisting components of physiological fluids is a key problem to solve while attempting to demonstrate electrochemical determination of UA. CuO NPs was synthesized by aqueous chemical growth method. The deposition of the synthesized NPs on the pretreated PGE surface was carried out by drop casting of a suspension of the NPs. The current response of uric acid detection was improved by a factor of 2.63 in differential pulse voltammetric measurement compared to unmodified electrode. Under the optimized method and solution parameters, linear dependence of peak current on uric acid concentration in a wide range of 1.21x10 − 6 M to 1.142x10− 4 M, Limit of detection 6.25x10− 7 M, and limit of quantification 2.084 x10− 6 M, and excellent recovery results (90.0-99.3%) respectively. The developed sensor displayed well separated and discerned peaks for UA in presence of the potential interferent (ascorbic acid and tartaric acid). The electrode was successfully applied for the detection of UA in clinical urine samples in a phosphate buffer solution (pH = 7). The proposed sensor showed a very high reproducibility and repeatability with the relative standard deviation of 0.94%. In conclusion, a simple and low cost sensor based on PGEs is developed for sensitive and selective detection of uric acid in clinical urine samples.

Publisher

Research Square Platform LLC

Reference53 articles.

1. Common polymorphisms influencing serum uric acid levels contribute to susceptibility to gout, but not to coronary artery disease;Stark KW,2009

2. Association between plasma uric acid and insulin resistance in type 2 diabetes: a Mendelian randomization analysis;Hu X;Diabetes Res. Clin. Pract.,2021

3. Electrochemical determination of Adrenaline and Uric acid at 2-Hydroxybenzimidazole modified carbon paste electrode Sensor;Madhuchandra H;Mater. Sci. Technol.,2020

4. Preparation of poly(3,4-ethylenedioxythiophene) nanofibers modified pencil graphite electrode and investigation of over-oxidation conditions for the selective and sensitive determination of uric acid in body fluids;Ozcan A;Electrochim. Acta,2014

5. Determination of uric acid in urine, saliva and calcium oxalate renal calculi by high-performance liquid chromatography/mass spectrometry;Perello J;J. Chromatogr. B,2005

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3