An ultra-sensitive electrochemical sensor for ascorbic acid based on click chemistry

A highly selective and sensitive electrochemical sensor for ascorbic acid (AA) assay has been prepared through Cu(I) catalyzed azide-alkyne cycloaddition reaction (CuAAC). The catalyst, Cu(I) species, is acquired from the reduction of Cu(II) by AA in situ. In the presence of Cu(I) catalyst, the azid...

Full description

Saved in:
Bibliographic Details
Published in:Analyst (London) 2011-10, Vol.136 (19), p.3962-3966
Main Authors: Qiu, Suyan, Gao, Sen, Xie, Lidan, Chen, Hongqin, Liu, Qida, Lin, Zhenyu, Qiu, Bin, Chen, Guonan
Format: Article
Language:English
Subjects:
Analytical chemistry
Ascorbic acid
Ascorbic Acid - analysis
Catalysts
Chemistry
Click Chemistry
Cycloaddition
Electrochemical methods
Electrochemical Techniques - instrumentation
Electrochemical Techniques - methods
Electrodes
Exact sciences and technology
Ferrocenes
General, instrumentation
Gold
Gold - chemistry
Reduction
Sensors
Surface Properties
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A highly selective and sensitive electrochemical sensor for ascorbic acid (AA) assay has been prepared through Cu(I) catalyzed azide-alkyne cycloaddition reaction (CuAAC). The catalyst, Cu(I) species, is acquired from the reduction of Cu(II) by AA in situ. In the presence of Cu(I) catalyst, the azide modified Au electrode surface is shown to react quantitatively with terminal propargyl-functionalized ferrocene forming 1,2,3-triazoles. The electrochemical response of propargyl-functionalized ferrocene modified Au electrode surface can be monitored using differential pulse voltammetry (DPV) technique. Under optimal conditions, it is found that the current intensity has a linear relationship with the logarithm of AA concentration in the range of 5.0 × 10(-12) to 1.0 × 10(-9) M. Furthermore, the proposed electrochemical sensor shows a good stability (RSD 4.2%), high selectivity and low detection limit for AA detection. In addition, it also demonstrates that the proposed sensor can be applied to detect AA in real urine samples with satisfactory results.
ISSN:0003-2654
1364-5528
DOI:10.1039/c1an15316a