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DOI 10.1016/j.msec.2017.03.227

Медицинская библиотека · Materials science & engineering. C, Materials for biological applications · 2017

A novel sensor made of Antimony Doped Tin Oxide-silica composite sol on a glassy carbon electrode modified by single-walled carbon nanotubes for detection of norepinephrine.

Wang Zhao, Wang Kai, Zhao Lu, Chai Shigan, Zhang Jinzhi, Zhang Xiuhua, Zou Qichao

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Аннотация

In this study, we designed a novel molecularly imprinted polymer (MIP), Antimony Doped Tin Oxide (ATO)-silica composite sol, which was made using a sol-gel method. Then a sensitive and selective imprinted electrochemical sensor was constructed with the ATO-silica composite sol on a glassy carbon electrode modified by single-walled carbon nanotubes (SWNTs). The introduction of SWNTs increased the sensitivity of the MIP sensor. The surface morphology of the MIP and MIP/SWNTs were characterized by scanning electron microscopy (SEM), and the optimal conditions for detection were determined. The oxidative peak current increased linearly with the concentration of norepinephrine in the range of 9.99×10-8M to 1.50×10-5M, as detected by cyclic voltammetry (CV), the detection limit was 3.33×10-8M (S/N=3). In addition, the proposed electrochemical sensors were successfully applied to detect the norepinephrine concentration in human blood serum samples. The recoveries of the sensors varied from 99.67% to 104.17%, indicating that the sensor has potential for the determination of norepinephrine in clinical tests. Moreover, the imprinted electrochemical sensor was used to selectively detect norepinephrine. The analytical application was conducted successfully and yielded accurate and precise results.

Для цитирования: Wang Zhao, Wang Kai, Zhao Lu, Chai Shigan, Zhang Jinzhi, Zhang Xiuhua, Zou Qichao. A novel sensor made of Antimony Doped Tin Oxide-silica composite sol on a glassy carbon electrode modified by single-walled carbon nanotubes for detection of norepinephrine.. Materials science & engineering. C, Materials for biological applications. 2017. DOI: 10.1016/j.msec.2017.03.227.

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