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Highly sensitive detection of copper(I) and copper(II) in cell specimens by CE-UV with large-volume sample stacking
Chen, Cheng ; Li, Xin ; Xie, Xia ; Chang, Fengxia ; Li, Meixian ; Zhu, Zhiwei
刊名ANALYTICAL METHODS
2016
关键词SERUM COPPER CAPILLARY-ELECTROPHORESIS HODGKINS-DISEASE LYMPHOMAS LEUKEMIA COMPLEX ACID
DOI10.1039/c6ay00933f
英文摘要A sensitive, rapid and simple CE-UV method with large-volume sample stacking (LVSS) and polarity switching has been developed and validated for the analysis of copper(I) and copper(II) simultaneously. Benefiting from the combination of the LVSS method, a limit of detection (LOD) of 30 nM was obtained which was much lower than those of the current detection methods. Several factors, such as the concentration and pH of the background solution, injection time and pressure, stacking voltage and inversion electric current, were systematically optimized. Under the optimum conditions, the detection limits of copper(I) and copper(II) were improved nearly 1000 times compared with the conventional methods by CE-UV, which made it possible to determine trace copper in cell specimens. Eventually, the proposed method was successfully applied to detect copper(I) and copper(II) in spiked cell samples with good recoveries.; National Natural Science Foundation of China (NSFC) [21175006, 21335001, 21475002]; SCI(E); EI; ARTICLE; zwzhu@pku.edu.cn; 21; 4272-4276; 8
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/437145]  
专题化学与分子工程学院
推荐引用方式
GB/T 7714
Chen, Cheng,Li, Xin,Xie, Xia,et al. Highly sensitive detection of copper(I) and copper(II) in cell specimens by CE-UV with large-volume sample stacking[J]. ANALYTICAL METHODS,2016.
APA Chen, Cheng,Li, Xin,Xie, Xia,Chang, Fengxia,Li, Meixian,&Zhu, Zhiwei.(2016).Highly sensitive detection of copper(I) and copper(II) in cell specimens by CE-UV with large-volume sample stacking.ANALYTICAL METHODS.
MLA Chen, Cheng,et al."Highly sensitive detection of copper(I) and copper(II) in cell specimens by CE-UV with large-volume sample stacking".ANALYTICAL METHODS (2016).
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