Department of Chemical Engineering and Biotechnology, College of Engineering, National Taipei University of Technology, No. 1, Sec. 3, Chung-Hsiao East Road, Taipei 106, Taiwan, ROC.
Department of Mechanical Engineering, National Taipei University of Technology, Taiwan, ROC.
Food Chem. 2022 Dec 15;397:133791. doi: 10.1016/j.foodchem.2022.133791. Epub 2022 Jul 27.
Herein we report the ternary hybrid nanocomposite of iron oxide @ molybdenum carbide micro flowers decorated graphitic-carbon nitride (FeO@MoC MFs/g-CN), as a catalyst for the detection of organophosphorus pesticide, parathion (PAT), for the first time. The growth of hierarchical nanostructure from the core level will facilitate easy diffusion of analyte and interact more effectively with the reactive catalytic sites. Thus, FeO NFs architecture was hydrothermally grown over MoC flakes from the core level, which further hybridized with g-CN to ensure electrical conductivity and mechanical stability. Experimental results demonstrate that FeO@MoC MFs/g-CN/GCE has superior catalytic efficacy for PAT reduction. At optimum conditions, the proposed sensor exhibits a low detection limit (7.8 nM), high sensitivity, and wide linear range (0.5-600 µM) toward PAT detection. The satisfactory test results of the food samples indicate that the FeO@MoC MFs/g-CN/GCE sensor can be used as an excellent candidate for real-time PAT detection.
在此,我们首次报道了氧化铁@碳化钼微花修饰石墨相氮化碳(FeO@MoC MFs/g-CN)的三元杂化纳米复合材料,将其用作检测有机磷农药对硫磷(PAT)的催化剂。从核级生长的分层纳米结构将促进分析物的容易扩散,并与反应性催化位点更有效地相互作用。因此,在核心水平上通过水热法在 MoC 薄片上生长了 FeO NFs 结构,其进一步与 g-CN 杂交以确保导电性和机械稳定性。实验结果表明,FeO@MoC MFs/g-CN/GCE 对 PAT 的还原具有优异的催化效果。在最佳条件下,所提出的传感器对 PAT 检测表现出低检测限(7.8 nM)、高灵敏度和宽线性范围(0.5-600 µM)。对食品样品的令人满意的测试结果表明,FeO@MoC MFs/g-CN/GCE 传感器可用作实时 PAT 检测的优秀候选物。