In this work, a series of Cu_2O-Ag/ZnO, Cu_2O/ZnO and Ag/ZnO nanocomposites with various compositions were prepared via a hydrothermal method followed by chemical modification, and their antibacterial performance was investigated in detail. X-ray powder diffraction, scanning electron microscopy and transmission electron microscopy results confirmed that 31 nm Cu20 and 30 nm Ag nanoparticles are well-dispersed on 202 nm ZnO grains to form a Cu_2O/ZnO and Ag/ZnO heterojunction, respectively. The bi-heterojuction structure in the Cu20-Ag/ZnO provided a synergistic effect on antibacterial activity, and the(Cu_2O)_(0.04)Ag_(0.06)ZnO_(0.9) nanocomposites showed the highest antimicrobial activity of all samples with minimum inhibitory concentration and minimum bactericidal concentration against Escherichia coli and Staphylococcus aureus as low to 31.25 μg/mL, 250μg/mL, 125μg/mL and 500μg/mL, respectively. This is the first report of the antibacterial activities of Cu_2O and Ag co-modified ZnO nanocomposites.
弱阻尼低频振荡特性是保证系统安全稳定运行的重要基础。提出采用Ibrahim时域法(Ibrahim time domain,ITD)和随机减量法相结合的方法处理广域测量信号,实现电力系统振荡特性的系统化分析。在介绍方法基本原理的基础上,通过不同类型南方电网实测信号功率谱特征比较,建立类噪声信号基本概念,进而以36节点系统仿真信号和南方电网实测信号为例,应用上述方法提取典型信号中所包含的系统动态特征信息,实现电网低频振荡特征参数识别,为基于广域测量信号,全面、及时、准确地掌握互联电力系统动态特性奠定坚实基础。
