材料科学
亮绿色
光催化
化学工程
检出限
可见光谱
傅里叶变换红外光谱
碳纳米管
介电谱
电化学气体传感器
纳米颗粒
纳米技术
电极
电化学
催化作用
化学
光电子学
色谱法
有机化学
物理化学
工程类
作者
Faiza Aslam,Afzal Shah,Naimat Ullah,Shamsa Munir
出处
期刊:ACS applied nano materials
[American Chemical Society]
日期:2023-03-21
卷期号:6 (7): 6172-6185
被引量:6
标识
DOI:10.1021/acsanm.3c00488
摘要
The present research work aims to contribute toward the sustainable development goal of water cleanliness by monitoring and removing toxic effluents from wastewater. Herein, we present an electrochemical sensing platform made of a glassy carbon electrode modified with Fe-doped ZnO nanoparticles (NPs) and multiwalled carbon nanotubes (MWCNTs) for the detection of brilliant green (BG) using a smart droplet analysis approach. The Fe–ZnO NPs were synthesized via a hydrothermal method and characterized by various analytical techniques such as UV–visible spectroscopy, XRD, SEM, EDX, and FTIR spectroscopy. Fe–ZnO NPs were found to act as a mediator between the transducer and BG for efficient electron transport, while MWCNTs led to the enhanced current response of BG at the electrode surface owing to their conductive and adsorptive characteristics. Under optimized conditions of pH 6, 0.1 V deposition potential, and 40 s deposition time, a 0.40 nM limit of detection was achieved at the designed nanosensor. Photocatalytic degradation of the dye with NPs was also investigated in different pH media using UV–visible spectroscopy. The dye was found to photocatalytically degrade up to 99% in just 30 min, following first-order kinetics with a rate constant of 0.14 min–1. The photocatalytic degradation was also monitored electrochemically at the designed sensing platform, and the findings were found to be in good agreement with the results of UV–visible spectroscopy. The developed electrochemical droplet analysis approach is not only economical but also efficient, ultra-sensitive, and environmentally friendly.
科研通智能强力驱动
Strongly Powered by AbleSci AI