Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/34931
標題: Selective detection of copper ions in aqueous solution based on an evanescent wave infrared absorption spectroscopic method
作者: Huang, G.G.
楊吉斯
Yang, J.
關鍵字: chlorinated hydrocarbons;modified electrodes;metal complexes;amino;acids;water;sensor;voltammetry;exchange;elements;spectra
Project: Analytical Chemistry
期刊/報告no:: Analytical Chemistry, Volume 75, Issue 10, Page(s) 2262-2269.
摘要: 
A new infrared sensing scheme based on an evanescent wave was proposed in this work for selective detection of copper ion in aqueous solutions. This sensing scheme is based on the band-shifting technique to overcome the limitation that metal ions do not absorb IR radiation. To demonstrate that the proposed mechanism is feasible, both theoretical considerations and practical examination of copper ions in aqueous solutions were investigated. The IR sensor was constructed by surface modification with L-(-)proline to selectively interact with copper ions by formation of stable square-planar complexes. After complexation, the absorption bands of the immobilized L(-)proline exhibits a band shift and could be used to monitor the quantity of metal ions in aqueous solutions. To immobilize L-(-)proline on the surface of a sensing element and increase the stability of the modified phase in aqueous solutions, poly(vinylbenzyl chloride) was coated onto the sensing element for further immobilization Of L-(-)proline. A sensitive and a water-stable L-(-)proline phase was obtained. This sensing phase is selective and sensitive to copper ions due to the large formation constant between the copper ions and L-(-)proline. Factors, such as the copper ion concentration, response time, solution pH, long-term stability, regeneration efficiency, and the matrix effect, were investigated. Results indicated that the pH effect was significant but could be controlled by buffering the sample solutions. Using the optimal conditions found in this work, the detection limit could be lower than 0.7 muM and the linear regression coefficients in standard curves could be higher than 0.99 for a concentration range from 5 to 200 muM.
URI: http://hdl.handle.net/11455/34931
ISSN: 0003-2700
DOI: 10.1021/ac0264372
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