Establishment and application of a solid-phase blocking ELISA method for detection of antibodies against classical swine fever virus

Cao, Yuying,Yuan, Li,Yang, Shunli,Shang, Youjun,Yang, Bin,Jing, Zhizhong,Guo, Huichen,Yin, Shuanghui 대한수의학회 2022 Journal of Veterinary Science Vol.23 No.3

Background: Classical swine fever (CSF) is a severe infectious disease of pigs that causes significant economic losses to the swine industry. Objectives: This study developed a solid-phase blocking enzyme-linked immunosorbent assay (spbELISA) method for the specific detection of antibodies against the CSF virus (CSFV) in porcine serum samples. Methods: A spbELISA method was developed based on the recombinant E2 expressed in Escherichia coli. The specificity of this established spbELISA method was evaluated using reference serum samples positive for antibodies against other common infectious diseases. The stability and sensitivity were evaluated using an accelerated thermostability test. Results: The spbELISA successfully detected the antibody levels in swine vaccinated with the C-strain of CSFV. In addition, the detection ability of spbELISA for CSFV antibodies was compared with that of other commercial ELISA kits and validated using an indirect immunofluorescence assay. The results suggested that the spbELISA provides an alternative, stable, and rapid serological detection method suitable for the large-scale screening of CSFV serum antibodies. Conclusions: The spbELISA has practical applications in assessing the vaccination status of large pig herds.

Establishment and application of a solid-phase blocking ELISA method for detection of antibodies against classical swine fever virus

Yuying Cao,Li Yuan,Shunli Yang,Youjun Shang,Bin Yang,Zhizhong Jing,Hui-Chen Guo,Shuanghui Yin 대한수의학회 2022 Journal of Veterinary Science Vol.23 No.5

Background: Classical swine fever (CSF) is a severe infectious disease of pigs that causes significant economic losses to the swine industry. Objectives: This study developed a solid-phase blocking enzyme-linked immunosorbent assay (spbELISA) method for the specific detection of antibodies against the CSF virus (CSFV) in porcine serum samples. Methods: A spbELISA method was developed based on the recombinant E2 expressed in Escherichia coli. The specificity of this established spbELISA method was evaluated using reference serum samples positive for antibodies against other common infectious diseases. The stability and sensitivity were evaluated using an accelerated thermostability test. Results: The spbELISA successfully detected the antibody levels in swine vaccinated with the C-strain of CSFV. In addition, the detection ability of spbELISA for CSFV antibodies was compared with that of other commercial ELISA kits and validated using an indirect immunofluorescence assay. The results suggested that the spbELISA provides an alternative, stable, and rapid serological detection method suitable for the large-scale screening of CSFV serum antibodies. Conclusions: The spbELISA has practical applications in assessing the vaccination status of large pig herds.

AtbZIP16 and AtbZIP68, two new members of GBFs, can interact with other G group bZIPs in Arabidopsis thaliana

( Huai Shun Shen ),( Kai Ming Cao ),( Xi Ping Wang ) 생화학분자생물학회 2008 BMB Reports Vol.41 No.2

Flow-induced vibrations of dual-cylinders in axial flow via LES simulations

Shi Kangfei,Cao Yu,Zheng Zhanying,Lu Shun,Liu Menglong 한국원자력학회 2024 Nuclear Engineering and Technology Vol.56 No.9

The axial-flow-induced vibration of fuel rods in the nuclear power plant is closely related to nuclear safety. In this article, a numerical study is performed on vibration of two elastic cylinders arranged side-by-side in axial flow. Large eddy simulation is employed to predict the turbulent flow. The numerical method has been verified using the experimental root-mean-square vibration amplitude of a single cylinder. A wide range of inflow velocities u*, incident turbulence intensity Tu and space ratio P/D have been examined, where D and P are the diameter and centre-to-centre distance of the cylinders, respectively. The results show that the vibration amplitudes increase with an increasing u*, comparable to the case of a single cylinder in axial flow. However, the two cylinders could bend outwards during a relatively high u* and low Tu. Although Tu significantly affects the amplitudes of the cylinders, it does not change the vibration frequency and the critical velocity at which buckling instability occurs. As the gap between the two cylinders is sufficiently small, the vibration amplitude enhances significantly due to the pronounced hydrodynamic interaction between the two elastic cylinders and surrounding fluid. The direction of buckling is no longer random but fixed.

High‑Temperature Deformation Behavior of Duplex Mg–8.41Li–1.80Al–1.77Zn Alloy Processed by Friction Stir Processing

Fu Rong Cao,Guo Qiang Xue,Bi Jin Zhou,Shun Cheng Wang 대한금속·재료학회 2019 METALS AND MATERIALS International Vol.25 No.3

To explore the ductility, a novel Mg–8.41Li–1.80Al–1.77Zn (designated as LAZ822) alloy was fabricated by casting,hot rolling and friction stir processing. The maximum elongation to failure of 489.5% was demonstrated in a fine-grainedLAZ822 alloy at a temperature of 573 K and an initial strain rate of 1.67 × 10−4 s−1. The true stress exponent of 2, the grainsize exponent of 2 and the activation energy of 89.44–121.14 kJ/mol confirm that grain boundary sliding controlled by latticediffusion governs the rate-controlling deformation process at the temperatures of 523 and 573 K. The viscous resistancemodels of dual phases were newly established. At 573 K, the lattice viscous resistance of the α-Mg phase is 2644 times aslarge as that of the β-Li phase, whereas the grain boundary viscous resistance of the α-Mg phase is 3.3 times as large as thatof the β-Li phase. Some α-Mg grains remain in an equiaxed state while the other α-Mg grains become connected at elevatedtemperatures. This experimental evidence corroborates the existence of dynamic grain connection growth. Cavity growthmechanism maps were constructed. The maps reveal that power-law cavity growth or strain controlled cavity growth is thepredominant cavity growth mechanism.

A ZigBee-based Aquiculture Water Quality Monitoring System

Li Jinfeng,Cao Shun 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.10

To overcome the issues of many monitoring measurement points, wide range, complex working environment and difficult link in aquaculture monitoring, a low-cost, low-power real-time ZigBee-based water quality monitoring system is presented. The system collects, transmits, displays, queries the water quality parameters (the temperature, dissolved oxygen concentration, pH value, and water level) and controls the increase oxygen machine. The low-power MSP430F149 and CC2530 RF chip are the core of the system which is constituted with the sensor nodes, routing nodes and coordination nodes. The time synchronization algorithm enables all nodes in the network sleep and wake up synchronously to ensure the reliability of data transmission and reduce power consumption. The test results illustrate that the network packet loss rate is 0.83% when the distance between the two nodes is 80 m, which meets the demands of aquiculture. The system runs stably, measures accurately and can automatically regulate the water quality, has certain market value and wide prospects of application.

Migration pattern and crystallization characteristics of CeO2 in tailing glass-ceramics under microwave irradiation

Wence Xu,Zhao Cao,Rui Ma,Nannan Wu,Shunli Ouyang 한양대학교 청정에너지연구소 2023 Journal of Ceramic Processing Research Vol.24 No.3

Slag glass-ceramics doped with different proportions of CeO2 were prepared by fusion casting method using iron tailings andfly ash as raw materials. The effect of CeO2 on the activation energy and crystallization pattern of glass-ceramics under theeffect of ohmic thermal radiation and microwave radiation was investigated. The experimental results show that thecrystallization activation energy of glass-ceramics gradually increases with the addition of CeO2, and the diopside crystallizationis suppressed. Compared with conventional heat-treated samples, microwave irradiation effectively reduces the glass transitiontemperature, mainly depending on the enhanced crystallization kinetics by microwave non-thermal effects. Further analyzedby Raman spectroscopy, the microwave effect promoted the combination of Ce4+ with [SiO4] to generate fully depolymerizedQ0, inhibited the generation of Q2 and Q3, and increased the glass stability.

Assessing the Impact of Solids Retention Time (SRT) on the Secondary Clarifier Capacity using the State Point Analysis

Oleyiblo Oloche James,Jia-Shun Cao,Amos T Kabo-Bah,Gan Wang 대한토목학회 2015 KSCE JOURNAL OF CIVIL ENGINEERING Vol.19 No.5

The State Point Analysis (SPA) tool implemented in BioWin software was used to study the impact of Solids Retention Time (SRT) on the secondary clarifier as it relate to effluent quality in a full-scale treatment plant. SRT is the operating parameter which replaces loading factor as the key design parameter in the activated sludge design. It influences a number of factors, such as; growth rate of microorganisms, nitrification, biomass stabilization, degradation of slowly biodegradable organics, selection of microbial composition of the mixed liquor and its settling and treatment characteristics. SRT is the most difficult parameter to manipulate, its control is paramount to ensure effective waste water treatment. Studies have shown best operating SRT’s, nevertheless, the clarifier working conditions in those studies were not considered. SPA is a practical tool developed for the purposes of assessing clarifier performance under different operating scenarios. This study shows the usefulness of SPA in determining optimum operating SRT while maintaining clarification and thickening without compromising clarifier operation. The SPA results revealed that the clarifier is overloaded at the present operating SRT (16 days). However, it was found that the treatment plant performs better at 12 days SRT without violating effluent concentrations and without being critically loaded.

Novel strategy based on improved Kalman filter algorithm for state of health evaluation of hybrid electric vehicles Li-ion batteries during short- and longer term operating conditions

Ren, Pu,Wang, Shunli,He, Mingfang,Cao, Wen The Korean Institute of Power Electronics 2021 JOURNAL OF POWER ELECTRONICS Vol.21 No.8

To solve the problems in estimating the state of health (SOH) of Li-ion batteries due to real-time estimation difficulty and low precision under various operating conditions, the variations of the SOH caused by increases of the internal resistance have been analyzed. Based on the second-order RC equivalent circuit model, the short-term effect of the state of charge (SOC) on the internal resistance was considered, which was set under the discharge condition. In addition, the variation of the internal resistance was analyzed in two intervals of 0-1 s and 1-10 s. The extended Kalman filter (EKF) algorithm was improved to present a novel improved Kalman filter (IKF) algorithm to accurately predict the long-term internal resistance under different operating conditions. A computational formula based on the internal-resistance increasing was established and the SOH was estimated. The error of the calculated result when compared with the forgetting factor least square method based on the internal-resistance increasing was controlled to within 4.0% under the HPPC condition, 3.0% under the BBDST condition, and 6.0% under the DST condition. The proposed algorithm has good convergence, helps improve the SOH estimation, and encourages the application of Li-ion batteries.

Novel reduced-order modeling method combined with three-particle nonlinear transform unscented Kalman filtering for the battery state-of-charge estimation

Xu, Wenhua,Wang, Shunli,Fernandez, Carlos,Yu, Chunmei,Fan, Yongcun,Cao, Wen The Korean Institute of Power Electronics 2020 JOURNAL OF POWER ELECTRONICS Vol.20 No.6

Accurate estimation of the lithium-ion battery state of charge plays an important role in the real-time monitoring and safety control of batteries. In order to solve the problems that the real-time estimation of the lithium-ion battery is difficult and the estimation accuracy is not high under various working conditions, a lithium-ion battery is taken as a research object, and the working characteristics of the lithium-ion battery are studied under various working conditions. In order to reduce the computational complexity of the traditional unscented Kalman algorithm, an improved unscented Kalman algorithm is proposed. Considering the importance of accurately estimating the initial state of charge for later estimation, the initial estimation value is calibrated by using the open-circuit voltage method. Then, the improved unscented Kalman filter algorithm based on a reduced-order model is used for assessing and tracking to realize real-time high-precision estimation of the state of charge of the lithium-ion battery. A simulation model is built and combined with a variety of working conditions data for performance analysis. The experimental results show that the convergence speed and tracking effect are good and that the estimation error control is within 0.8%. It is verified that the reduced order of the three-particle nonlinear transform unscented Kalman results in higher accuracy in the state-of-charge estimation of lithium-ion batteries.