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Cited by 174

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Highly Selective Electrochemical Strategy for Monitoring of Cerebral Cu2+ Based on a Carbon Dot-TPEA Hybridized Surface

Shao, Xiangling, Gu, Hui, Wang, Zhen, Chai, Xiaolan, Tian, Yang, Shi, Guoyue·2013·Analytical Chemistry

Abstract

Direct determination of cerebral metal ions in small volume biological samples is still the bottleneck for evaluating the roles that metal ions play in the physiological and pathological processes. In this work, selected copper ion (Cu(2+)) as a model, a facile and direct electrochemical method for detection of Cu(2+) has been developed on the basis of two new designed strategies: one is specific recognition molecule for Cu(2+)-AE-TPEA (N-(2-aminoethyl)-N,N',N'-tris(pyridine-2-yl-methyl)ethane-1,2-diamine); another is carbon dots (C-Dots) with high electrocatalytic activity. Based on the high affinity between TPEA and Cu(2+), the electrode assembled with C-Dot-TPEA hybridized nanocomposites shows high selectivity toward Cu(2+) over other metal ions, amino acids, and biological coexisting species, such as uric acid (UA), ascorbic acid (AA), and so on, which makes it possible to be used for determination of Cu(2+) in the complex brain system. By taking advantage of C-Dots, a dynamic linear range from 1 μM to 60 μM is first achieved with a detection limit of ∼100 nM in aCSF solution. In addition, the developed method with theoretical simplicity and less instrumental demands exhibits long-term stability and good reproducibility. As a result, the present strategy has been successfully applied in detection of cerebral Cu(2+) in normal rat brain and that followed by global cerebral ischemia, combined with in vivo microdialysis. The determined concentrations of Cu(2+) in the rat brain microdialysates by the present method are found to be identical to those obtained by the conventional ICP-AES method.

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Metadata

Authors
Shao, X., Gu, H., Wang, Z., Chai, X., Tian, Y., & Shi, G.
Venue
Analytical Chemistry
Published
2012-12-18
Volume
85
Issue
1
Pages
418-425
ISSN
  • 0003-2700 (ISSN-L)
  • 1520-6882
OpenAlex
W2049681730
Cited by
174
References
1
FWCI
7.68
Type
journal article
Language
en
Open access
closed

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