Development and Application of Nanocomposite Modified Electrode Combined with Liquid Chromatography and Mutli-Channel Microchip Capillary Electrophoresis
| Autor: | Szu-Yao Chung, 鐘思堯 |
|---|---|
| Rok vydání: | 2014 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 102 Nanomaterial has been attracting much attention due to its unique electronic properties and potential applications in electrochemical sensing and biosening technique. Carbon Black and multi-walled carbon nanotubes have high surface area, excellent thermal conductivity, electric conductivity and high adsorption capacity, combined with chitosan could be to improve the selectivity, dispersion and stability were used as modified electrode. A method for the simultaneous detection of six neurotransmitters metabolites by LC with electrochemical detection was developed. The net value of the oxidation peak current of HVA obtained at Carbon Black - chitosan modified electrode was about 23 times higher than that on the bare electrode. The performance of the carbon black modified electrode was evaluated showing a good linearity with the concentration, the correlation coefficients were above the 0.9963, the limit of detection reach to 0.011 μM. In other study, a new approach for the integration of multi- nanomaterials modified electrode coupled with an electrophoresis microchip system is presented. The results indicated that modified electrode exhibited efficiently electrocatalytical oxidation for DA, L-DOPA and 8-OHdG with relatively high sensitivity, long life, and stability. Their linear ranges were from 50 to 1000 μM and the detection limits were as low as 2.0 μM (S/N = 3). The percent relative standard deviation (RSD or CV) for each compound at three concentration level was lower than 2.7 % and 5.1 % for intra day and inter day precision, respectively. The mean recovery values were between 84.1~116.3 % for urine and 92.9 ~ 109.5 % for planarian, and the stability after 60 times injection, the signal still retains 81.4% of the original response for the samples analysis. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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