The development of oxygen carriers with superior performance is crucial for chemical looping combustion. Here, the theoretical screening method based on two reactivity descriptors was proposed via the density function...
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The development of oxygen carriers with superior performance is crucial for chemical looping combustion. Here, the theoretical screening method based on two reactivity descriptors was proposed via the density functional theory calculations in order to screen the transition-metal-doped perovskite-type oxygen carriers. Experiments were conducted to comprehensively investigate the effects of transition-metal doping on the reaction characteristic of LaMnO3 oxygen carrier with CO. The theoretical results indicate that the doping of Fe, Co, Ni and Cu can reduce the formation energy of oxygen vacancy on the LaMnO3 surface. The substitution of Co and Cu can improve the reaction rate of CO oxidation, while CO oxidation is inhibited after the doping of Fe and Ni. Among them, Co-doped LaMnO3 has the lowest activation barrier of 51.06 kJ/mol during CO oxidation. Experimental results demonstrate that Co- and Cu-doped LaMnO3 show better activity than undoped LaMnO3 at the lower temperatures, which is consistent with the theoretical screening results. Co doping can still improve the reaction rate of oxygen carrier at the higher temperatures. Moreover, the doping of Co can further enhance the oxygen release property of LaMnO3. The weight loss of LaMnO3 increases from 8.67 % to 9.09 % after Co doping. CoLaMnO3 also exhibits good sintering resistance and can be used as a promising oxygen carrier during chemical looping combustion. This work paves a new way to design and screen highly efficient oxygen carriers for chemical looping combustion.
Magnetic field modulated gears have contactless, lubrication-free and highly flexible transmission characteristics, which provide an inherent technological advantage in solving the vibration, jerk and lubrication prob...
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Magnetic field modulated gears have contactless, lubrication-free and highly flexible transmission characteristics, which provide an inherent technological advantage in solving the vibration, jerk and lubrication problems of two-gear transmissions in electric vehicles. To this end, a magnetic gear two-speed transmission drive concept is proposed, and a configuration preference method for two-speed transmissions based on weighted directed topology maps is investigated. A directed weighted graph modulo adjacency matrix and topological evolution rules describing the structure of the system are established. Adjacency matrix ergodic evolution and isomorphism discrimination are investigated for single and two-stage magnetic gear two-speed transmissions, respectively. Through the constructed relative speed link identification algorithm, the speed ratio between any component is calculated quickly. A configuration preference method was established for the defined evaluation objectives via hierarchical analysis. Finally, a prototype was built based on the screening results. The test results showed that the optimal solution could accurately meet the design requirements and realize two-speed transmission. The accuracy of the configuration and screening method of the magnetic gear two-speed transmission system proposed in this article is verified. It provides a theoretical reference for the design of high-performance magnetic gear two-speed transmission.
Currently, there is no suitable method for screening thermophilic bacteria for dextranases (E.C. 3.2.1.11). Here we report a procedure suitable for the identification of anaerobes grown at high temperatures (55-68 deg...
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Currently, there is no suitable method for screening thermophilic bacteria for dextranases (E.C. 3.2.1.11). Here we report a procedure suitable for the identification of anaerobes grown at high temperatures (55-68 degrees C). Water samples to be screened are inoculated into liquid medium containing Blue Dextran. Anaerobic thermophiles containing an active dextranase can be identified visually by a change in color of the medium from blue to yellow. The method may be quantified by extracting the cell-free supernatant into 70% ethanol and measuring absorbance at 420 nm. Production of the yellow chromophore requires actively growing cells producing an endodextranase. Some 150 thermophiles were screened. A selection of 30 anaerobic thermophiles were ranked with respect to their dextranase activity. This method allowed the identification of organisms producing a new class of enzyme, amylodextranase, which hydrolyses both starch and dextran.
Reservoir simulator can involve a large number of uncertain input parameters. Sensitivity analysis can help reservoir engineers focusing on the inputs whose uncertainties have an impact on the model output, which allo...
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Reservoir simulator can involve a large number of uncertain input parameters. Sensitivity analysis can help reservoir engineers focusing on the inputs whose uncertainties have an impact on the model output, which allows reducing the complexity of the model. There are several ways to define the sensitivity indices. A possible quantitative definition is the variance-based sensitivity indices which can quantify the amount of output uncertainty due to the uncertainty of inputs. However, the classical methods to estimate such sensitivity indices in a high-dimensional problem can require a huge number of reservoir model evaluations. Recently, new sensitivity indices based on averaging local derivatives of the model output over the input domain have been introduced. These so-called Derivative-based Global Sensitivity Measures (DGSM) have been proposed to overcome the problem of dimensionality and are linked to total effect indices, which are variance-based sensitivity indices. In this work, we propose a screening method based on revised DGSM indices, which increases the interpretability in some complex cases and has a lower computational cost, as demonstrated by numerical test cases and by an application to a synthetic reservoir test model.
A simple screening method is presented for the measurement of antigen-specific IgEs in sera in which mast cells are used. This method is based on the intracellular calcium signal in mast cells induced by cross-linking...
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A simple screening method is presented for the measurement of antigen-specific IgEs in sera in which mast cells are used. This method is based on the intracellular calcium signal in mast cells induced by cross-linking the surface high-affinity Fc receptors (Fc epsilon RIs) with IgEs and multivalent antigens. When a serum containing various antigen-specific IgEs is added to the mast cell suspension, various antigen-specific IgEs are captured by Fc epsilon RIs on the cell surface. However, the required antigen-specific IgE can be specifically detected after the addition of the corresponding antigen. The resulting increase in intracellular calcium concentration ([Ca2+](i)), monitored by Ca(2+)fluorometry, was found to be an analytical measure for the screening of IgEs. Two kinds of rodent mast cells, cell-lined RBL-2H3 cells and primary cultured BMMCs, were used as a representative model system of mast cells. A DNP hapten (DNP35-HSA) and ovalbumin (OVA) were chosen for illustrative antigens, and these antigen-specific IgEs (DNP-specific IgE, OVA-specific IgE) in the corresponding rodent sera were target antibodies. It was found that [Ca2+](i) increased linearly with IgE concentrations ranging from 25 to 5000 ng/mL for DNP-specific IgE and from 5 to 50 ng/mL for OVA-specific IgE, For these dynamic ranges, optimum concentrations of antigens were found to be 10 ng/mL and 1 mu g/mL for DNP35-HSA and OVA, respectively. It was concluded that by monitoring the increase of [Ca2+](i) in mast cells, we could determine the antigen-specific IgEs, The present immunological assay based on the Ca2+ signal transduction in mast cells offers new possibilities for efficient screening of antigen-specific IgEs and the immunogenicity of IgE in sera.
In this paper we investigate the use of a two-stage case-control design to test for linkage disequilibrium in a large sample with a large number of null makers and one potential candidate marker. The scores, or signal...
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In this paper we investigate the use of a two-stage case-control design to test for linkage disequilibrium in a large sample with a large number of null makers and one potential candidate marker. The scores, or signals, obtained at the markers, at the same stage, are assumed to be independent. The aim is to reduce the cost due to the number of laboratory analyses. In the first stage, the test is carried out at all markers of a randomly selected proportion lambda of the sample at hand. Then the markers showing a score over a specified threshold, say, the median score, along with an average random proportion p of the makers with scores below the median are selected for the second stage of the study. Combined scores are then computed at the second stage and these cross-stage scores are not assumed to be necessarily additive or independent. This, partially, extends Satagopan et al. (Biometrics 58 (2002) 163-170) analysis in the case of independent marker outcomes. The aim is to identify optimal values for p and lambda that maximize the probability to detect association in the case of association. The transmission-disequilibrium test is considered in the analysis and analytical formulas for the underlying probabilities are derived throughout. Furthermore, simulation results on the performance of the two designs are presented.
Current greenhouse screening methods for soybean [Glycine max (L.) Merr.] sudden death syndrome (SDS) are not sensitive enough to evaluate progeny of resistant x resistant crosses, which can possess resistance alleles...
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Current greenhouse screening methods for soybean [Glycine max (L.) Merr.] sudden death syndrome (SDS) are not sensitive enough to evaluate progeny of resistant x resistant crosses, which can possess resistance alleles at up to 12 quantitative trait loci (QTL). The objective of the study was to modify the current greenhouse screening method, the layer method, to increase its sensitivity in distinguishing SDS-resistant lines. Three experiments were conducted using infested sorghum [Sorghum bicolor (L.) Moench] as inoculum. In Exp. 1, five different inoculum densities (1:1, 1:5, 1:10, 1:15, and 1:20 inoculum:soil ratio) were compared, and the optimum density to distinguish genotypes was identified. In Exp. 2, the association between SDS field ratings and greenhouse severity scores was determined. In Exp. 3, the inoculum layer method was compared to the proposed modified mixed method. Inoculum ratios 1:15 and 1:20 showed the largest difference in SDS ratings between soybean genotypes. The best time to assess disease severity was 30 to 36 d after planting (DAP), with the highest correlation with field ratings at 36 DAP (r = 0.82, p < 0.05). The proposed modified method shifted the frequency distribution of SDS scores toward a normal curve. The findings indicate that the modified screening method using a 1:20 inoculum:soil ratio correlated well with field data and provided adequate screening of lines possessing up to 12 SDS resistant QTL without negatively impacting germination.
An investigation with respect to inhibition of nitrification of wastewater from 109 Swedish municipal wastewater treatment plants was performed. Flow proportional, 24-hour composite samples were collected during one w...
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An investigation with respect to inhibition of nitrification of wastewater from 109 Swedish municipal wastewater treatment plants was performed. Flow proportional, 24-hour composite samples were collected during one week, and then analysed using the screening method. Inhibition of nitrification above 10% was found at only 20 plants. In general, the load of inhibiting substances is limited in Swedish municipal wastewater according to this study. The inhibition found is nor connected to any special category of treatment plants with respect to the size of the plant. Neither was any general pattern of inhibition during the week found in this investigation. It was also shown that the screening method can be used for detecting small quantities of inhibiting substances if different dilutions of the same sample are analysed. (C) 1999 IAWQ Published by Elsevier Science Ltd. All rights reserved.
The aim of this research is to improve an existing low-cost and simple but consistent culturing technique for measuring the adsorption of grape skin pigments on yeasts, comprising: (i) growing yeasts in Petri dishes o...
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The aim of this research is to improve an existing low-cost and simple but consistent culturing technique for measuring the adsorption of grape skin pigments on yeasts, comprising: (i) growing yeasts in Petri dishes on chromogenic grape-skin-based medium, (ii) photographing the yeast biomass, (iii) measuring its red, green, and blue colour components, and (iv) performing the statistical analysis of the data. Twenty strains of Saccharomyces cerevisiae were grown on different lots of the chromogenic medium, prepared using grape skins from dark cultivars Greco Nero, Magliocco and Nero d'Avola. Microscale wine fermentation trials were also performed. Wide and significant differences among wine yeasts were observed. The chromogenic grape-skin-based medium can be prepared using any grape cultivar, thus allowing the specific selection of the most suitable strain of Saccharomyces cerevisiae for each grape must, mainly for red winemaking. The research provides a useful tool to characterize wine yeasts in relation to pigment adsorption, allowing the improvement of wine colour.
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