4.4 Article

First Report for Levodopa Electrocatalytic Oxidation Based on Copper Metal-Organic Framework (MOF): Application in a Voltammetric Sensor Development for Levodopa in Real Samples

期刊

CHEMISTRYSELECT
卷 5, 期 28, 页码 8532-8539

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/slct.202001781

关键词

Electrocatalytical oxidation; Levodopa; Metal-organic framework; Voltammetry Sensor

资金

  1. Bu-Ali Sina University from the Grant Research Council

向作者/读者索取更多资源

Levodopa (LD) determination was achieved for the first time by a cooper metal-organic framework (MOF) based nanocomposite modified electrode. This research describes a simple, sensitive and cost-effective electrochemical method for the detection of LD in real samples and the laboratory samples. This method is based on LD oxidation on glassy carbon electrode (GCE) surface modified with multi-walled carbon nanotubes and copper terephthalic acid MOF (MWCNTs/Cu (TPA) MOF) nanocomposite. MOF was synthesized by the hydrothermal method. The synthesized MOF was characterized by Fourier-transform infrared spectrophotometry (FT-IR), energy-dispersive X-ray spectroscopy (EDX), field emission scanning electron microscopy (FESEM) and X-ray diffraction (XRD). Electrochemical studies were accomplished by square wave voltammetry (SWV) and cyclic voltammetry (CV). The applied MOF, as a Cu-containing synthetic peroxidase enzyme, can electrocatalyze oxidation of LD on the electrode surface and in incorporation with MWCNTs illustrated satisfactory synergic electrocatalytical properties which leads to sensitive detection of LD in the human serum sample. Limit of detection (LOD), sensitivity and linear range were 2 nmol L-1, 2.26 mu A/mu mol L(-1)and 0.9-35 mu mol L(-1)respectively, which in compared to other enzymatic or non-enzymatic sensors were completely satisfying. Ultimately, stability, repeatability and reproducibility of as-prepared sensor were investigated and the results were acceptable.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据