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Chen Y.,Zhejiang University | Cheng D.-G.,Zhejiang University | Chen F.,Zhejiang University | Chen F.,Key Laboratory of Biomass Chemical Engineering of Ministry of Education | Zhan X.,Zhejiang University
Progress in Chemistry | Year: 2014

More attention to Cu-ZSM-5 zeolite has been paid due to its excellent catalytic activities in removal of NO, and the process it concerned is non-polluting. In this review, the reaction mechanism and catalyst improvement of NO decomposition, selective catalytic reduction of NO with ammonia (NH3-SCR-NO) and with hydrocarbons (CH-SCR-NO) over Cu-ZSM-5 zeolite are summarized. The possible developing orientations in the field of removal of NO over Cu-ZSM-5 zeolite are also prospected. Direct catalytic decomposition of NO to N2 and O2 has been recognized as the most attractive method for removal of NO, which involves redox process of Cu+ and formation of N2O. NH3-SCR-NO reaction is one of the most efficient and widely-used techniques. Firstly, NO is oxidized to NO2, and then NH4NO3 is formed from the reaction of NO2 and NH3. Finally, NH4NO3 reacts with NO generating N2. CH-SCR-NO reaction over Cu-ZSM-5 zeolite is an efficient way for the treatment of automobile-exhaust pollution. The formation of key intermediates such as isocyanate and cyanide species is a necessary process during CH-SCR-NO reaction. However, Cu-ZSM-5 zeolite suffers from poor hydrothermal stability and high sulfur dioxide (SO2) poisoning property which have suppressed its industrial applications. Introduction of a second metal and fabrication of monolithic catalyst can significantly improve the catalytic performance of Cu-ZSM-5 zeolite. The systematic understanding of reaction mechanism is beneficial to the improvement of Cu-ZSM-5 zeolite and also important for the design of novel, efficient, environmentally-friendly catalysts. Source


Wang T.,Key Laboratory of Biomass Chemical Engineering of Ministry of Education | Wang T.,Zhejiang University | Wu M.-B.,Key Laboratory of Biomass Chemical Engineering of Ministry of Education | Wu M.-B.,Zhejiang University | And 7 more authors.
Current Topics in Medicinal Chemistry | Year: 2016

Compared with the increasing and widespread bacterial resistance to clinical medicines and the urgent need for cures of intractable diseases, there is a dramatic decline in the numbers of drugs reaching the market or clinical trials. Accordingly, it has become imperative to discover more rational and efficient strategies to design and develop novel drugs. Structure-based drug design/discovery (SBDD) is one of the computer-aided methods, by which novel drugs are designed or discovered based on the knowledge of 3D structures of the relevant specific targets. During the past few decades, the great potentials and success of SBDD have been seen in the field of drug discovery. In this review, we present an overview of the key mechanisms of SBDD, the frequently used computer programs in SBDD and the reported successful cases. Finally, several typical design processes of lead components from SBDD are also highlighted in detail, such as the discovery of inhibitors of G protein-coupled receptors (GPCRs), antibacterial drugs, and anti-cancer drugs. © 2016 Bentham Science Publishers Source


Wang T.,Key Laboratory of Biomass Chemical Engineering of Ministry of Education | Wang T.,Zhejiang University | Liang Y.,Key Laboratory of Biomass Chemical Engineering of Ministry of Education | Wu M.,Key Laboratory of Biomass Chemical Engineering of Ministry of Education | And 7 more authors.
Chinese Journal of Chemical Engineering | Year: 2015

Bacillus subtilis produces many chemically-diverse secondary metabolites of interest to chemists and biologists. Based on this, this review gives a detailed overview of the natural components produced by B. subtilis including cyclic lipopeptides, polypeptides, proteins (enzymes), and non-peptide products. Their structures, bioactive activities and the relevant variants as novel lead structures for drug discovery are also described. The challenging effects of fermentation metabolites, isolation and purification, as well as the overproduction of bioactive compounds from B. subtilis by metabolic engineering, were also highlighted. Systematically exploring biosynthetic routes and the functions of secondary metabolites from B. subtilis may not only be beneficial in improving yields of the products, but also in helping them to be used in food industry and public medical service on a large-scale. © 2014 The Chemical Industry and Engineering Society of China, and Chemical Industry Press. All rights reserved. Source


Wang T.,Key Laboratory of Biomass Chemical Engineering of Ministry of Education | Wang T.,Zhejiang University | Zhang S.-Y.,Zhejiang Key Laboratory of Antifungal Drugs | Wu M.-B.,Key Laboratory of Biomass Chemical Engineering of Ministry of Education | And 7 more authors.
Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities | Year: 2014

A strain was screened from the Eastern Sea sludge, Zhejiang, China, which has good antagonistic effect in vitro on the human pathogenic fungi-Candida albicans ATCC 64548. The strain was identified as Bacillus amyloliquefaciens based on sequencing 16S rDNA gene and blasting the sequence in GenBank database. The batch fermentation process was studied in a 5 L fermentor. In order to increase antibiotic potency, single-factor methodology was applied to optimize culture conditions. The optimized culture conditions are as follows: temperature 28℃, rotation speed 500 r·min-1, inoculation 10% (volume fraction), medium volume 3 L, and fermentation time 24 h. After that, a mathematical model was developed to describe the dynamic kinetics of the antibiotic production based on the Logistic equation for the cell growth and the Luedeking-Piret equation for the antifungal antibiotic production. The material balance for the reduced sugar was established by the combination of production from starch hydrolysis and depletion due to cell growth, antifungal antibiotic synthesis and cell maintenance. The fit degrees of the three individual models are 0.978, 0.99 and 0.90, respectively. The results indicate a good agreement between the experimental data and the model predictions. ©, 2014, Zhejiang University. All right reserved. Source

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