Electrochemical polymerized DL-phenylalanine modified carbon nanotube sensor for the selective and sensitive determination of caffeic acid with riboflavin

利用电化学聚合DL-苯丙氨酸修饰的碳纳米管传感器选择性、灵敏地测定咖啡酸和核黄素

阅读:2

Abstract

In this study, DL-phenylalanine modified with a multiwall carbon nanotube paste electrode is used as advanced electrochemical sensor for analysing of 0.1 mM caffeic acid (CFA) with simultaneous detection of riboflavin (RFN). The developed sensors include electrochemically polymerized DL-phenylalanine (DL-PA) modified multiwall carbon nanotube paste electrode [DL-PAMMCNTPE] and bare multiwall carbon nanotube paste electrode [BMCNTPE]. The increasing stability in the developed electrochemical sensor for the quantification of CFA is highlighted in detail, along with its characterization using voltammetric techniques such as electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), differential pulse voltammetry (DPV), and linear Sweep Voltammetry (LSV). Scanning electron microscopy (SEM) technique was used to studied the structural analysis of BMCNTPE and DL-PAMMCNTPE surface. The investigation of 0.1 mM CFA in 0.2 M phosphate buffered solution (PBS) using a 7.0 pH at 0.1 V/s scan rate was highlighted using DL-PAMMCNTPE, which shows good electrochemical responses compared to BMCNTPE. This work characterizes the voltammetric responses by inspecting the pH effect, scan rate effect, and concentration difference of CFA at the DL-PAMMCNTPE surface. The CFA responses specify that the scan rate progress is adsorption controlled. The concentration of CFA detection was started from 20 μM to 600 μM using DPV method, with lower limit of detection (LOD) of 0.280 μM and limit of quantification (LOQ) of 0.936 μM. And for CV method concentration range 20 to 550 μM, with LOD of 0.198 μM and LOQ of 0.702 μM. Furthermore, the developed electrochemical sensor responses are shows good stability, repeatability, and reproducibility, for CFA. The analytical applicability of CFA in apple juice and coffee powder samples was also evaluated.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。