Development and Application of Modified Carbon Electrode to Detect Estrogen Compounds

碩士 === 輔仁大學 === 化學系 === 100 === In recent years, emerging contaminants (ECs), out of regulation, can disturb the endocrine system of animals and human being, such as estrogens of endocrine disrupting compounds (EDCs) that are called environmental hormones. It is reported that the metabolites of...

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Bibliographic Details
Main Authors: Chen, Jhih-Sheng, 陳志昇
Other Authors: Lee, Hui-Ling
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/32775722528368710624
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Summary:碩士 === 輔仁大學 === 化學系 === 100 === In recent years, emerging contaminants (ECs), out of regulation, can disturb the endocrine system of animals and human being, such as estrogens of endocrine disrupting compounds (EDCs) that are called environmental hormones. It is reported that the metabolites of estrogens is biomarkers for breast cancer even at very low concentration. For this reason, we take advantage of electrochemical methods to detect estrogens and their metabolites fast and sensitively. Electrochemical methods have attracted wide attention than others spectrometry due to their sensitivity, simplicity, low cost, small device and easy miniaturization. Furthermore, it can be improved sensitivity by the modified electrode. In our experiment, carbon black, high surface area, stabilization, heat tolerance and good conductivity, is utilized as material to construct modified electrode for detection of estrogens and their metabolites. We compare the efficacy of different material, carbon nanotube and graphene, for detection of estrogen compounds. The carbon black modified electrode is better than others by cyclic voltammetry and electrochemical impedance spectroscopy, and it succeeds to enhance the signal up to twenty times by differential pulse voltammetry. Finally, we apply high performance liquid chromatography (HPLC) and amperometry to detect estrogen compounds by the modified electrode, it can increase the signal up to two point five times, and this technology is potential to detect them in real sample.