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生物气溶胶对人类的健康、动植物的生长可构成很大的威胁。生物气溶胶的激光光谱识别和荧光雷达探测研究有利于人类与传染疾病作斗争。有条件采样单位于生物气溶胶荧光光谱分析仪在荧光收集系统之后巧妙地把粒子的弹性散射光和未经色散的荧光按产生的时间先后分成两个部分。光谱仪有条件采样过程可降低数据采集和数据处理速率,提高信噪比。有条件触发单粒子生物气溶胶荧光光谱分析仪的光源为一台连续的Ar+激光器和一台四倍频Nd:YAG激光器,可得到紫外荧光信息,扩大了应用范围。该仪器必须满足严格的时序条件和逻辑条件。利用紫外激光诱导荧光雷达探测技术可进行生物气溶胶及生物战剂的识别研究。一台紫外-荧光雷达系统,当探测距离为3000m时,浓度探测极限为500mg/m3。一种长距离生物传感探测系统可对正在运动中的气溶胶云团进行测距、探测和跟踪,跟踪高度可达30km。 相似文献
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Facile construction of functional nanomaterials with laccase-like activity is important in sustainable chemistry since laccase is featured as an efficient and promising catalyst especially for phenolic degradation but still has the challenges of high cost, low activity, poor stability and unsatisfied recyclability. In this paper, we report a simple method to synthesize nanozymes with enhanced laccase-like activity by the self-assembly of copper ions with various imidazole derivatives. In the case of 1-methylimidazole as the ligand, the as-synthesized nanozyme (denoted as Cu-MIM) has the highest yield and best activity among the nanozymes prepared. Compared to laccase, the Km of Cu-MIM nanozyme to phenol is much lower, and the vmax is 6.8 times higher. In addition, Cu-MIM maintains excellent stability in a variety of harsh environments, such as high pH, high temperature, high salt concentration, organic solvents and long-term storage. Based on the Cu-MIM nanozyme, we established a method for quantitatively detecting phenol concentration through a smartphone, which is believed to have important applications in environmental protection, pollutant detection and other fields. 相似文献
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Qi Nie Hao Jiang Si-Dong Zhong Qiang Wang Juan-Juan Wang Hao Wang Li-Hua Wu 《Entropy (Basel, Switzerland)》2022,24(7)
Community detection and structural hole spanner (the node bridging different communities) identification, revealing the mesoscopic and microscopic structural properties of complex networks, have drawn much attention in recent years. As the determinant of mesoscopic structure, communities and structural hole spanners discover the clustering and hierarchy of networks, which has a key impact on transmission phenomena such as epidemic transmission, information diffusion, etc. However, most existing studies address the two tasks independently, which ignores the structural correlation between mesoscale and microscale and suffers from high computational costs. In this article, we propose an algorithm for simultaneously detecting communities and structural hole spanners via hyperbolic embedding (SDHE). Specifically, we first embed networks into a hyperbolic plane, in which, the angular distribution of the nodes reveals community structures of the embedded network. Then, we analyze the critical gap to detect communities and the angular region where structural hole spanners may exist. Finally, we identify structural hole spanners via two-step connectivity. Experimental results on synthetic networks and real networks demonstrate the effectiveness of our proposed algorithm compared with several state-of-the-art methods. 相似文献