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Xiaoyu Li,Chuhao Li,Yang Hu,Yongqi Yu,Wenjie Zeng,Haibiao Wu 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.6
The coolant temperature feedback coefficient is an important parameter of reactor core power controlsystem. To study the coolant temperature feedback coefficient influence on the core power controlsystem of small PWR, the core power control system is built with the nonlinear model and fuzzy controltheory. Then, the uncertainty quantification method of reactor core parameters is established based onthe Latin hypercube sampling method and the Bootstrap method. Finally, under the conditions ofreactivity step perturbation and coolant inlet temperature step perturbation, uncertainty analysis for twocases is carried out. The result shows that with fuzzy controller and fuzzy PID controller, the uncertaintyof the coolant temperature feedback coefficient affects the core power control system, and the maximumuncertainties of core relative power, coolant temperature deviation, fuel temperature deviation and totalreactivity are acceptable
Colorimetric H2O2 Detection Using Ag-Nanoparticle-Decorated Silica Microspheres
Zhikun Zhang,Qingqing Liu,Yumin Liu,Ran Qi,Lilong Zhou,Zhengjie Li,Jimmy Yun,Runjing Liu,Yongqi Hu 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2020 NANO Vol.15 No.02
In view of the importance of convenient and rapid H2O2 detection for biological analysis, we herein propose Ag nanoparticle (NP)-decorated silica microspheres as a probe for instant and non-enzymatic on-site colorimetric detection of H2O2. The surface hydroxyl groups of silica microspheres were reacted with (3-mercaptopropyl)trimethoxysilane to afford thiolated microspheres that subsequently bind Ag NPs. The oxidation of residual –SH groups on the silica surface to –S–S– moieties in the presence of H2O2 induces the aggregation of decorated microspheres and is accompanied by a color change. Sensor response is found to be proportional to H2O2 concentration in the range from 100 nM to 1 mM, with UV–Vis and colorimetric detection limits determined as 10 -8 M and 10 -5 M, respectively. The developed platform is successfully used to detect H2O2 in simulated human urine and is, therefore, concluded to be sufficiently stable and selective for practical applications.