| Title |
Selective detection of dopamine in the presence of ascorbic acid by use of glassy-carbon electrodes modified with both polyaniline film and multi-walled carbon nanotubes with incorporated β-cyclodextrin
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, October 2006
|
| DOI | 10.1007/s00216-006-0845-z |
| Pubmed ID | |
| Authors |
Tanji Yin, Wanzhi Wei, Jinxiang Zeng |
| Abstract |
A simple, sensitive, and reliable method based on a combination of multi-walled carbon nanotubes with incorporated beta-cyclodextrin (beta-CD-MWNTs) and a polyaniline (PANI) film-modified glassy-carbon (GC) electrode has been successfully developed for determination of dopamine (DA) in the presence of ascorbic acid (AA). The PANI film had good anti-interference properties and long-term stability, because of the permselective and protective properties of the conducting redox polymer film. The acid-treated MWNTs with carboxylic acid functional groups promoted the electron-transfer reaction of DA and inhibited the voltammetric response of AA. Sensitive detection of DA was further improved by the preconcentration effect of formation of a supramolecular complex between beta-CD and DA. The analytical response of the beta-CD-MWNTs/PANI film to the electrochemical behavior of DA was, therefore, better than that of a MWNTs/PANI film, a PANI film, or a bare glassy-carbon (GC) electrode. Under the conditions chosen a linear calibration plot was obtained in the range 1.0 x 10(-7)-1.0 x 10(-3) mol L(-1) and the detection limit was 1.2 x 10(-8) mol L(-1). Interference from AA was effectively eliminated and the sensitivity, selectivity, stability, and reproducibility of the electrodes was excellent for determination of DA. |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 21% |
| Researcher | 9 | 21% |
| Professor | 4 | 9% |
| Professor > Associate Professor | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 6 | 14% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 20 | 47% |
| Materials Science | 4 | 9% |
| Engineering | 2 | 5% |
| Physics and Astronomy | 2 | 5% |
| Mathematics | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 10 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 February 2013.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,541
of 9,618 outputs
Outputs of similar age
#86,138
of 88,699 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#51
of 52 outputs
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