Shenyang Institute of Chemical Technology
Shenyang, China

Shenyang University of Chemical Technology is a university in Shenyang, Liaoning, China under the provincial government. Shenyang University of Chemical Technology, partially run by the state and mainly by the local government, is an institute of mainly in science, specialization and advantage in the field of chemical industry, integration in the field of science, engineering, economy, management and arts.In 1952, Shenyang Chemical Industry Technical School was established. In 1958 it was upgraded to a college and renamed Shenyang Institute of Chemical Technology. In 1960, renamed to Liaoning University of Science and Technology. In 1962, back to Shenyang Institute of Chemical Technology. January 21, 2010, was renamed Shenyang University of Chemical Technology. In near future, its name is going to be change to Shenyang University of science and Technology.Now it has become the multi-levels teaching system for postgraduates, undergraduates, and the education of Branch Institute , foreign students, adults, and continuous education. Wikipedia.

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Yu J.,CAS Institute of Process Engineering | Guo F.,Shenyang Institute of Chemical Technology | Wang Y.,CAS Institute of Process Engineering | Zhu J.,Xiangtan University | And 4 more authors.
Applied Catalysis B: Environmental | Year: 2010

Mesoporous MnO2-Fe2O3-CeO2-TiO2 was prepared with sol-gel method and demonstrated to have good low-temperature activity and sulfur-poisoning resistance for selective catalytic reduction (SCR) of NO with NH3 in SO2-containing gases. In comparison with this, the catalyst with the same composition but made according to the conventional impregnation method exhibited obviously lower SO2-poisoning resistance and selectivity to the formation of N2 in the SCR reactions. FTIR analysis of the spent catalysts after SCR reactions for 16 h and 60 h in a SO2-contaning gas demonstrated that there was little difference in the amount of deposited ammonium sulfate over the mesoporous catalyst between the two cases. The mesopore channels existing in the mesoporous catalyst enabled probably a dynamic balance between the formation and decomposition of ammonium sulfate in SCR reactions. This concern was justified through comparing the N2 adsorptions and XPS spectra for the catalysts made with the impregnation and sol-gel methods. The article clarified as well the facilitation effects of introducing Ce and Fe into the mesoporous catalyst on activity, selectivity and SO2-poisoning resistance. Crown Copyright © 2009.

Wu C.Z.,CAS Dalian Institute of Chemical Physics | Yao X.D.,University of Queensland | Yao X.D.,Griffith University | Zhang H.,Shenyang Institute of Chemical Technology
International Journal of Hydrogen Energy | Year: 2010

In this paper, we reported that the prepared nickel coated carbon nanofibers (NiCNFs) by electroless plating method exhibited superior catalytic effect on hydrogen absorption/desorption of magnesium (Mg). It is demonstrated that the nanocomposites of MgH2/5 wt.% NiCNFs prepared by ball milling could absorb hydrogen very fast at low temperatures, e.g. absorb ∼6.0 wt.% hydrogen in 5 min at 473 K and ∼5.0 wt.% hydrogen in 10 min even at a temperature as low as 423 K. More importantly, the desorption of hydrogen was also significantly improved with additives of NiCNFs. Diffraction scanning calorimetry (DSC) measurement indicated that the peak desorption temperature decreased 50 K and the on-set temperature for desorption decreased 123 K. The composites also desorbed hydrogen fast, e.g. desorb 5.5 wt.% hydrogen within 20 min at 573 K. It is suggested that the new phase of Mg2Ni, and the nano-sized dispersed distribution of Ni and carbon contributed to this significant improvement. Johnson-Mehl-Avrami (JMA) analysis illustrated that hydrogen diffusion is the rate-limiting step for hydrogen absorption/desorption. © 2009 Professor T. Nejat Veziroglu.

Li Z.,Fudan University | Huang D.,Fudan University | Tang Z.,Shenyang Institute of Chemical Technology | Deng C.,Fudan University
Journal of Separation Science | Year: 2010

In this work, for the first time, microwave-assisted extraction (MAE) followed by CE was developed for the fast analysis of catechin and epicatechin in green tea. In the proposed method, catechin and epicatechin in green tea samples were rapidly extracted by MAE technique, and then analyzed by CE. The MAE conditions and the method's validation were studied. It is found that the extraction time of 1 min with 400W microwave irradiation is enough to completely extract catechin and epicatechin in green tea sample, whereas the conventional ultrasonic extraction (USE) technique needs long extraction time of 60 min. The method validations were also studied in this work. The calibration curve shows good linearity in 0.01-3 mg/mL for catechin (R2=0.993), and 0.005-3 mg/mL for epicatechin (R2=0.996), respectively. The RSD values for catechin and epicatechin are 0.65 and 2.58%, respectively. This shows that the proposed method has good reproducibility. The proposed method has good recoveries, which are 118% for catechin and 120% for epicatechin. The proposed method was successfully applied to determination of the catechin and epicatechin in different green tea samples. The experiment results have demonstrated that the MAE following CE is a simple, fast and reliable method for the determination of catechin and epicatechin in green tea. © 2010 Wiley-VCH Verlag GmbH & Co. KGaA.

Li Z.,Fudan University | Huang D.,Fudan University | Tang Z.,Shenyang Institute of Chemical Technology | Deng C.,Fudan University | Zhang X.,Fudan University
Talanta | Year: 2010

In this work, for the first time, capillary zone electrophoresis (CZE) technique combined with microwave-assisted extraction (MAE) was developed for the fast quantification of chlorogenic acid (CA) in tobacco residues. CA in tobacco residue samples were extracted by MAE technique, and then analyzed by CZE. As a new sample preparation method for tobacco residues, the MAE procedure is optimized, validated and compared with conventional methods including ultrasonic extraction (USE) and reflux extraction (RE). It is found that MAE gives the best result due to the highest extraction efficiency within shortest extraction time (only 4.0 min). Here, CA is determined by CZE based on the calibration curve of its authentic standard. The method linearity, detection limit, precision and recovery are studied. The results show that the combined MAE and CZE method has a linearity (R2 0.991, 0.003-0.5 mg ml -1), a limit of detection (0.003 mg ml-1), a limit of quantification (0.01 mg ml-1), good precision (R.S.D. = 4.28%) and a finer recovery (89.0%). The proposed method was successfully applied to the analysis of CA in tobacco residue samples. The experiment results have demonstrated that the CZE combined with MAE is a convenient, fast, economical and reliable method for the determination of CA in tobacco residues. © 2010 Elsevier B.V. All rights reserved.

Tang J.,Northeastern University China | Yu W.,CINVESTAV | Chai T.,Northeastern University China | Zhao L.,Northeastern University China | Zhao L.,Shenyang Institute of Chemical Technology
Neurocomputing | Year: 2012

Principal component analysis (PCA) has been widely applied in process monitoring and modeling. The time-varying property of industrial processes requires the adaptive ability of the PCA. This paper introduces a novel PCA algorithm, named on-line PCA (OLPCA). It updates the PCA model according to the process status. The approximate linear dependence (ALD) condition is used to check each new sample. A recursive algorithm is proposed to reconstruct the PCA model with selected samples. Three types of experiments, a synthetic data, a benchmark problem, and a ball mill load experimental data, are used to illustrate our modeling method. The results show that the proposed OLPCA is computationally faster, and the modeling accuracy is higher than conventional moving window PCA (MWPCA) and recursive PCA (RPCA) for time-varying process modeling. © 2011 Elsevier B.V.

Fan L.,Shenyang Institute of Chemical Technology | Boshnakov K.,Sofia University
Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010 | Year: 2010

Wastewater treatment processes are typical complex dynamic processes. They are characterized by severe random disturbance, strong nonlinearity, time-variant properties and uncertainty. Sensors which have higher reliability and adaptability are needed in such systems. Sensors currently available for wastewater treatment processes are limited both in sorts and reliability, and most of the sensors are expensive. Software sensors can give estimation to unmeasured state variables according to the measured information provided by online measuring instruments available in the system. Soft measurement technology based on artificial neural network has an obvious advantage in solving high nonlinearity and uncertainty. BP neural network was used to construct a soft measurement approach to monitor the effluent COD and BOD in wastewater treatment processes in this paper. Simulation results show that the soft measurement approach based on neural network can estimate the state variables accurately and can be used in real-time monitoring of biochemical wastewater treatment processes. © 2010 IEEE.

Gao E.-j.,Shenyang Institute of Chemical Technology | Wang L.,Shenyang Institute of Chemical Technology | Zhu M.-c.,Shenyang Institute of Chemical Technology | Liu L.,Shenyang Institute of Chemical Technology | Zhang W.-z.,Shenyang Institute of Chemical Technology
European Journal of Medicinal Chemistry | Year: 2010

The complexes [Pt(dmphen)CO3]·H2O (1), [Pd(dmphen)CO3]·H2O (2) (dmphen is 2,9-dimethyl-1,10-phenanthroline) have been synthesized and characterized. The binding of the complexes with FS-DNA was investigated by UV spectrum and fluorescence spectrum, showing that the complexes have the ability of interaction with DNA of intercalative mode. The intrinsic binding constant K of the complexes with FS-DNA is 1.8 × 105 M-1 (1) and 1.6 × 104 M-1 (2), respectively. Gel electrophoresis assay demonstrated the ability of the complexes to cleave the pBR 322 plasmid DNA. Evaluation of cytotoxic activity of the complexes against four different cancer cell lines proved that the complexes exhibited cytotoxic specificity and significant cancer cell inhibitory rate. Crown Copyright © 2009.

Wang J.,Shenyang Institute of Chemical Technology
Proceedings - 2nd IEEE International Conference on Advanced Computer Control, ICACC 2010 | Year: 2010

For the purpose of improving to redundancy of the transmission path, compensating for poor communication quality of wireless communication in harsh industrial environments and partly improving reliability of industrial wireless networked control system (WNCS), the multi-path transmission mechanism based on topology of dual-band and secondary structure is proposed. The topology of dual-band and secondary structure allows use of independent frequency bands to communication on devices and communication controllers. So as to diminish the chance of conflict and the effective use of space capacity to work in parallel. It partly eased real-time problems on wireless communication technology in industrial environment. At the same time, we introduce to DS-UWB in WNCS firstly. The project of PROFIBUS integrated with UWB are designed on the multi-path transmission mechanism based on topology of dual-band and secondary structure. It provides an effective application way of the multi-path transmission mechanism. © 2010 IEEE.

Yao S.,Shenyang Institute of Chemical Technology | Li J.,Shenyang Institute of Chemical Technology | Shi Z.,Shenyang Institute of Chemical Technology
Particuology | Year: 2010

The immobilization of titanium dioxide (TiO2) on activated carbon fiber (ACF), (TiO2/ACF), was accomplished by sol-gel-adsorption method followed by calcination at temperatures varying from 300 to 600 °C in an argon atmosphere. The material properties were determined by scanning electron microscope (SEM), X-ray diffraction (XRD) and nitrogen adsorption. The photodegradation behavior of TiO2/ACF was investigated in aqueous solutions using phenol and methyl orange (MO) as target pollutants. The effects of calcination temperature, photocatalyst dosage, initial solution pH and radiation time on the degradation of organic pollutants were studied. It was found that organic pollutants could be removed rapidly from water by the TiO2/ACF photocatalyst and the sample calcined at 500 °C exhibited the highest removal efficiency. Kinetics analysis showed that the photocatalytic degradation reaction can be described by a first-order rate equation. In addition, the possibility of cyclic usage of the photocatalyst was also confirmed. Moreover, TiO2 is tightly bound to ACF and can be easily handled and recovered from water. It can therefore be potentially applied for the treatment of water contaminated by organic pollutants. © 2010 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences.

Wu X.-W.,Shenyang Institute of Chemical Technology
Asia-Pacific Power and Energy Engineering Conference, APPEEC | Year: 2011

In order to forecast the bearing vibration of large-scale centrifugal ventilator, increase its operating safety and economy, the kernel algorithm of Statistical Learning Theory (SLT), Support Vector Machine (SVM) is applied to set up a forecast model of large-scale centrifugal ventilator bearing vibration. The model based on SVAR is compared with the model based-on Autoregressive by a case. The result indicates that the forecast model of bearing vibration based-on SVAR has many advantage, such as high-precision, high calculation velocity, modeling easily. The model based on SVAR can forecast the vibration condition of bearing, and avoid the fault due to the vibration. © 2011 IEEE.

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