Silicon nanoparticles: a new and enhanced operational material for nitrophenol sensing

JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS(2020)

引用 7|浏览5
暂无评分
摘要
The environmental problem is a big issue in the current scenario because the human beings are affected via natural or manmade sources. Over a range of industrial pollutents, the nitrophenol (referred to as 4-NP) known as harmful industrial chemical for the environment and listed as a carcinogenic compound for human health. To keep this view the present manuscript describes the formation of highly crystalline silicon nanoparticles (Si-NPs) and applied for the electrochemical sensing of 4-NP. The Si-NPs exhibit numerous applications in various directions such as catalyst, solar cells, LEDs, batteries etc. The Si-NPs were formed from the physical approach with using argon-silane mixture in a gas chamber with impregnation of microwave plasma. The processed material was examined through various techniques such as X-ray diffraction pattern (XRD), field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM) and Fourier transform spectroscopy (FTIR). It reveals from the acquired analysis that the size of each NP is ~ 4 nm with good structural and chemical characteristics and applied as a film form against to check the sensing of 4-NP with three electrode system. The electrochemical studies were conducted through cyclic voltammetry (CV) in terms of their low to high concentration (7.8, 15.62, 31. 25, 62.25, 250, 500, 1000 μM in PBS), scan rate at variable potential was accessed from 5 to 100 mV with Si-NPs based electrode. The sustainability, reproducibility and efficacy of the formed sensor (Si-NPs/GCE) was examined in occurrence with 4-NP (62.25 μM) for seven consecutive cycles. Including to this, chronoamperometry (0 to 1500 s ) and electrochemical impedance spectra (7.8–1000 μM in PBS) were also analyzed. On the basis of acquired results and discussion a probable mechanism was also described.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要