Amine-modified SiO2 aerogel was prepared using 3-(aminopropyl)triethoxysilane (APTES) as the modification agent and rice husk ash as silicon source, its CO2 adsorption performance was investigated. The amine-modified ...
Amine-modified SiO2 aerogel was prepared using 3-(aminopropyl)triethoxysilane (APTES) as the modification agent and rice husk ash as silicon source, its CO2 adsorption performance was investigated. The amine-modified SiO2 aerogel remains porous, the specific surface area is 654.24 m2/g, the pore volume is 2.72 cm3/g and the pore diameter is 12.38 nm. The amine-modified aerogel, whose N content is up to 3.02 mmol/g, can stay stable below the temperature of 300 °C. In the static adsorption experiment, amine-modified SiO2 aerogel (AMSA) showed the highest CO2 adsorption capacity of 52.40 cm3/g. A simulation was promoted to distinguish the adsorption between the physical process and chemical process. It is observed that the chemical adsorption mainly occurs at the beginning, while the physical adsorption affects the entire adsorption process. Meanwhile, AMSA also exhibits excellent CO2 adsorption–desorption performance. The CO2 adsorption capacity dropped less than 10 % after ten times of adsorption–desorption cycles. As a result, AMSA with rice husk ash as raw material is a promising CO2 sorbent with high adsorption capacity and stable recycle performance and will have a broad application prospect for exhaust emission in higher temperature.
On the base of explaining Multi-Objective Optimization Problems (MOOP) and Collaborative Optimization Techniques (COT), this paper puts forward an original and efficient approach-Collaborative Optimization Technique f...
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(纸本)9783037856482
On the base of explaining Multi-Objective Optimization Problems (MOOP) and Collaborative Optimization Techniques (COT), this paper puts forward an original and efficient approach-Collaborative Optimization Technique for Multi-Objective Optimization Problems (COTMOOP)-which combines Collaborative Optimization (CO) techniques and Evolutionary Algorithms (EAs). It has been developed so as to facilitate the organizations and increase the performances of complex coupling systems design and optimization. The newly method has been succeeded in applying to the design and optimization of excavator boom mechanism that is a complex coupling system. The optimal solutions can prove that the approach is efficient and practical.
Reservoir characteristics and formation mechanism of the 4th member of Xujiahe Formation in east Yuanba - Renhechang area were studied by analyzing thin section, scanning electron microscopy, mercury intrusion, loggin...
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Reservoir characteristics and formation mechanism of the 4th member of Xujiahe Formation in east Yuanba - Renhechang area were studied by analyzing thin section, scanning electron microscopy, mercury intrusion, logging data and combining with outcrop survey, core observation and other means. The results show that the rock types in the study area are complex and have significantly zoned features, which were closely related to three source systems near the basin. Reservoir physical properties are mainly of extra low porosity and permeability. The main pore types are secondary solution pores and micro fractures and the main throat types are laminated, curved lamellar and control shape throat. Reservoir diagenesis is complex, including compaction, pressure solution, cementation, dissolution, metasomatic alteration and cataclasis. Based on the research of reservoir characteristics, formation mechanism of tight reservoir in the study area was analyzed in diagenesis and sedimentary aspects. The studies show that the original reservoir properties and reservoir distribution are controlled by depositional environment, thus the underwater distributary channel and mouth bar are the favorable facies belt. A serious of diagenesis types played important roles during the formation of ultra-low permeability tight sandstone reservoir.
The Nogo-66 receptor (NgR1), a receptor for Nogo-A, contributes to the inhibition of axonal regeneration in the adult central nervous system after traumatic injuries. Thus, NgR1 has been considered a critical target i...
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The Nogo-66 receptor (NgR1), a receptor for Nogo-A, contributes to the inhibition of axonal regeneration in the adult central nervous system after traumatic injuries. Thus, NgR1 has been considered a critical target in axon regeneration therapy. Here, we identified a specific NgR1 antagonist peptide (HIYTALV, named NAP2) which promotes neurite regeneration in vitro from a phage display heptapeptide library. NAP2 was co-localized with NgR1 on the surface of PC12 cells and cerebellar granule cells (CGCs) by immunofluorescence assay. Horseradish peroxidase (HRP)-streptavidin-biotin assay further showed that NAP2 binds to NgR1 and the dissociation constant (Kd) was 0.45 mu M Functional analyses indicated that NAP2 could reduce the inhibitory effects of Nogo-66 on neurite outgrowth in differentiated PC12 cells and CGCs by blocking the Nogo-66-induced activation of Rho associated coiled coil-containing protein kinase (ROCK), collapsin response mediator protein 2 (CRMP2) and myosin light chain (MLC). Taken together, the small molecule NgR1 antagonist peptide NAP2 (MW: 815.98 Da) has a potential ability in crossing blood brain barrier and will be a promising therapeutic agent for the treatment of spinal cord injury and neurodegenerative diseases. (C) 2015 Elsevier Inc All rights reserved.
Melamine (Mel) is added illegally to foods and feeds due to its high nitrogen content and high intake, and it causes serious health problems, so it is urgent to build a simple and quick method for detecting Mel in our...
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Melamine (Mel) is added illegally to foods and feeds due to its high nitrogen content and high intake, and it causes serious health problems, so it is urgent to build a simple and quick method for detecting Mel in our daily life. In this work, a self-powered Mel detection method is developed that is based on the newly invented triboelectric nanogenerator (TENG) by using the strong electronegativity property of Mel. In addition, Mel can enhance the electrical output signals of the TENGs by pairing with other triboelectric materials. Thus a high-sensitive Mel sensor is designed based on polytetrafl uoethylene (PTFE) TENG;the output current of TENG increases with the addition of Mel, resulting in largely improved detection limit of Mel with 0.5 ppb and a linear increase range from 1 to 500 ppb. This study not only develops a new type of material for TENG, but also demonstrates an innovative and convenient method for the detection of Mel and other biomaterials.
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