详细信息
A novel screen-printed electrode array for rapid high-throughput detection ( SCI-EXPANDED收录)
文献类型:期刊文献
英文题名:A novel screen-printed electrode array for rapid high-throughput detection
作者:Mu, Shuai[1,2];Wang, Xiao[1,2];Li, Yuan-Ting[1,2];Wang, Yang[1,2];Li, Da-Wei[1,2];Long, Yi-Tao[1,2]
机构:[1]E China Univ Sci & Technol, State Key Lab Bioreactor Engn, Shanghai Key Lab Funct Mat Chem, Shanghai 200237, Peoples R China;[2]E China Univ Sci & Technol, Dept Chem, Shanghai 200237, Peoples R China
年份:2012
卷号:137
期号:14
起止页码:3220
外文期刊名:ANALYST
收录:;WOS:【SCI-EXPANDED(收录号:WOS:000305351000004)】;
基金:This research was supported by the National Science Fund for Distinguished Young Scholars (21125522), the National Natural Science Foundation of China (91027035, 21007015), the Fundamental Research Funds for the Central Universities (WK1013002) and the Open Project Program of the State Key Laboratory of Chemical Engineering (ECUST, SKL-ChE-11C01).
语种:英文
摘要:A novel multi-channel electrode array sensing device was fabricated by screen-printing techniques using 96-well plate as the template. To confirm its practical value, we developed a one-step preparation of multi-walled carbon nanotubes (MWCNTs) doped electrode array by an ink containing MWCNTs, which was applied to the simultaneous detection of a variety of biological samples and environmental pollutants. Results demonstrated that the designed sensing device could carry out the multiple measurements of different analytes at the same time, while MWCNTs enhanced the electrocatalytic activity of electrodes toward electroactive molecules. The required amount of each sample was only similar to 200 mu L. Moreover, the excellent differential pulse voltammetric (DPV) response toward dopamine, hydroquinone and catechol was obtained and the detection limits was determined to be 0.337, 0.289 and 0.369 mu M, respectively. Comparing it with the traditional screen-printed electrode (SPE), this sensing device possesses the advantages of high-throughput, fast electron transfer rate for electrodes, short-time analysis and low sample consumption.
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