4.7 Article

Electrochemistry of rGO-Cu3H2Mo2O10 cuboidal nanostructures: An effective detection of neurotransmitter dopamine in blood serum sample

期刊

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.jelechem.2020.114889

关键词

Electrochemical; Dopamine; Lower detection limit; Reduced graphene oxide

资金

  1. central university of Gujarat
  2. MNIT Jaipur
  3. AIIMS New Delhi
  4. Ashirvad Pathology laboratory
  5. University Grant Commission

向作者/读者索取更多资源

The study explored lindgrenite Cu3H2Mo2O10 cuboidal nanostructures (CMNs) and their nanocomposites with reduced graphene oxide for sensitive and selective dopamine detection, achieving a low detection limit and good linear range. Additionally, proof of concept for dopamine detection with serotonin selectivity was demonstrated. The sensing system showed good sensitivity and selectivity against interfering substances like ascorbic acid and serotonin, and was successfully applied for dopamine detection in human blood serum samples.
In this report, lindgrenite Cu3H2Mo2O10 cuboidal nanostructures (CMNs) and their nanocomposites with reduced graphene oxide have been explored for sensitive and selective detection of dopamine. These nanostructures have been characterized by PXRD, FESEM, TEM, Raman and XPS techniques to confirm the structural, morphological, and surface properties of rGO-CMNs nanocomposites. Electrochemical performance of rGO-CMNs nanocomposite has been investigated using CV, LSV, IMPE and EIS techniques. The lower detection limit of DA was attained to be 0.158 ?? with the range of linearity of 1.0?10.0 ?M and 34?125 ?M using DPV technique. Further, the proof of concept of DA detection with serotonin selectivity has also been studied through simultaneous detection approach. The present sensing system possesses good sensitivity and selectivity against ascorbic acid and serotonin. Present sensing system was also successfully applied to detect dopamine in human blood serum sample.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据