Advanced Materials Research Vols. 610-613

Abstract: Three samples of jackfruit peel were prepared, which were processed through adding no additives, adding lactic acid bacteria (LAB), and adding both LAB and pectinase respectively. In order to find out the regular pattern of microbial flora, microbial flora of each sample was analyzed during ensiling. It was found out that growth of LAB reached its peak of 1.2×109～4.5×109 CFU/g FM in the 7th day of ensiling, growth of aerobic bacteria reached its peak of 3.5×105～1.8×106 CFU/g FM in the 3rd day of ensiling, and growth of yeast reached its peak of 2.8×105～4.6×105 CFU/g FM in the 3rd day of ensiling. All of the samples with different way of processing showed the same trend that growth of microbial flora number were increased gradually and then decreased. It were also found out that decrease of pH value had relation with LAB number, and decrease of pH value were lagged behind the peak number of LAB, and number of aerobic bacteria and yeast were decreased with reproducing of LAB and decline of pH value. Quality of silage added with LAB, and both pectinase and LAB were better than that with no additives.

Abstract: By using CoMFA and CoMSIA methods, the new quantitative structures of 25 aromatic hydrocarbons and the 96 hr-EC₅₀ data with C. vulgaris have been investigated to obtain more detailed insight into the relationships between molecular structure and bioactivity. Compared to CoMFA (the average Q2LOO option =0.610), CoMSIA (the average Q2LOO =0.736) has the better results with robustness and stability. CoMSIA analysis using steric, electrostatic, hydrophobic, and H-bond donor and acceptor descriptors show H-bond donor is the common factor for influencing the toxicity, the steric and electrostatic descriptors are next and the hydrophobic descriptor was last. From the contour maps, the number of benzene ring is more crucial for the compound toxicity and the compounds with more benzene ring make toxicity increased. Under the same number of benzene ring, the kind of substituent group and the formed ability of H-bond are the other parameters to influencing the aromatic hydrocarbons toxicity.

Abstract: Flaxseed oil contains significant amounts of essential fatty acid, α-linolenic acid (ALA) with a content of 61% of the total fatty acid. ALA is attracting increasing attention because of their importance to human health. ALA has various physiological activities whose absence in the diet is responsible for the development of a wide variety of abnormalities. Highly purified ALA is required on pharmaceutical applications. This work reports as recovery of highly purified ALA from flaxseed oil by means of a process, which involves simultaneous oil saponification–extraction, followed by the ethyl esterification of fatty acids. Thereafter, the polyunsaturated fatty acids (PUFA) were concentrated by molecular distillation method, and ethyl esters below ALA were fractionated from ethyl–PUFA concentrate by mean of open column chromatography with silver–silica gel as stationary phase. The recovery in the combined process was 79%, and the final purity was 94.7%. Therefore, highly pure PUFA ALA could be procured by argentated silica gel chromatography column.

Abstract: Recently, the use of lignocellulosic fibres to reinforcing composite has received an increased attention. However, lack of good interfacial adhesion makes important the treatment of raw materials. In this study, the raw material Luffa fibres were treated by ionic liquids/water mixture and this treatment proved to be useful by elimination of gummy and waxy substances. The effect of the treatments on the structure of fibres was showed using SEM and XRD (X-Ray Diffraction) analysis. The SEM results revealed that the treatment resulted in a removal of lignin, pectin and hemicellulose substances, and change the characteristics of the surface topography. The XRD analysis shows the increase of crystallinity index.

Abstract: The Cladophora and Spirogyra genera are classified within the green algae division. Species belonging to these genera comprise large filamentous algae, possess significant biomass, and are found in freshwater around the world. These characteristics give Cladophora and Spirogyra high potential to be developed as biological materials. For this study, we harvested fresh Cladophora and Spirogyra and produced algae powder using two of conventional procedures: with pigment extraction and without pigment extraction. The resulting algae powders were subjected to Pb(II) biosorption, and the differences in biosorption rates were subsequently analyzed. Our study found the following: (i) significant differences in cell structure, cell wall thickness, the type and content of cell composition, and the quantity of epiphytes between Cladophora and Spirogyra. This variation influenced the functional groups within the resulting algae powders and their binding sites, which further led to different levels of Pb(II) adsorption. (ii) Glacial acetic acid, a compound commonly employed in pigment extraction procedures, affected the functional groups and the binding sites of the resulting algae powders. For Cladophora algae powder, Pb(II) biosorption was reduced by 16.6 %; whereas for Spirogyra algae powder, Pb(II) biosorption was reduced by 19.8 %. (iii) The pigment extraction procedure exerted the most significant influence on the carbonyl groups and hydroxyl groups in algae powder. (iv) The pigment extraction procedure is not suitable for the preparation of algae powders which will be used for metal ion biosorption.

Abstract: Establishing timely and high accurate models for crop yield estimation is of great significance for crop management and as well as decision makers. The arm of this study is to gain an approach of the method, depending on crop growth model and entropy method, to estimate spring maize yield with multi-temporal remotely sensed Landsat TM/ETM+ data at main growth and development stages of spring maize. The experiment had been conducted in Junchuan Farm of Northeast China. In this paper, the combined weights of the single-temporal estimation models were calculated by applying the entropy method (EM), and a combination forecasting (CF) model was developed. In order to improve the rationality of CF-EM and the accuracy of yield estimation, especially to follow the law of crop growth, the combination forecasting of combined weights method (CF-CM) was developed. The results showed that the yield estimation model based on CF-CM could increase the precision of the yield estimation model based on single-temporal remote images, the correlation coefficient was remarkably improved, and the value was increased by 0.09. The combined weights in the CF-CM were proposed for selecting the favorable coefficient of the subjective weight and objective weight, and that was of great importance for some key aspects: supplying usefulness information, how to raise maize yield and selecting key temporal satellite images to estimate maize yield. The CF-CM model discussed in this paper is feasible and effective to estimate spring maize yield.

Abstract: According to the problem that the classification result of shrub and forest land was easy to confuse when used spectrum of Advanced Land Image (ALI) to classify. This paper used the Meijiang River watershed as the study area. Used the Principal Component Analysis (PCA) to reduce dimension, taken the Contrast, Second moment, Mean and Dissimilarity as the texture values, and extracted the texture by Gray level co-occurrence matrix (GLCM). The texture features extracted from different window sizes were used the Maximum likelihood method to classify, and chosen the texture features extracted by the most suitable window size to join the classification. The research result shows that the texture features extracted by window size of 11×11 can distinguish well the two easily ground objects; moreover, the overall accuracy of classification used texture and spectrum features reached to 87.55%, which is 4.4% higher than the classification with spectrum.

Abstract: The vegetation cover is the main part of the human transformation of nature, and it is also the main reflection of human activities. Shandong Province is in the stage of rapid development at present, rapid economic growth and extensive development model makes the land use and vegetation cover has undergone profound changes in Shandong Province. Therefore, the study of vegetation cover change has great significance to the province. Based on the MODI S NDVI data with 1km resolution, the vegetation cover changes of Shandong Province from 2002 to 2011were analyzed in this paper supporting by the ENVI technology. The results showed that NDVI values in 2002 were mainly distributed in the 0.4-0.6 range, accounting for 62%, while NDVI values of the other years were mainly distributed in the 0.6-0.8 range, the proportion of them were over 50% except 2002. The results also showed that there are some differences in the composition of each interval in 2003 to 2011. Drought, fixed assets investment and crop planting area may be the main reasons for vegetation coverage changes of Shandong Province.

Abstract: Wetlands are extremely valuable natural resources, the simulation of wetland landscape spatial-temporal evolution can reveal the mechanisms and laws of landscape succession, achieve the sustainable landscape use and provide wetland conservation and management decision support. Thesis takes the inland freshwater wetlands in the Sanjiang Plain for experimental region, carries out experiment of wetland landscape changing process simulation using Cellular Automata, results show that visual effects of simulation and prediction are both good, and the total accuracy of points to points are also above 79% under each scale, which verifies the feasibility and effectiveness of wetland landscape spatial-temporal evolution simulation using Cellular Automata; scale has influence on transition rule mining, visual effects and accuracy of simulation results, and statistics of landscape index, then scale effect is obvious during wetland landscape spatial-temporal evolution simulation using Cellular Automata, accuracy and contagion index are both showed as exponential distribution with the scale rising, which provides reference for simulation scale selection.

Abstract: Emergency shelters for earthquake disaster (ESED) is an important part of the prevention system for earthquake and other sudden-onset natural disasters. ESED plays an important role in the reduction of earthquake disasters and emergency evacuation to a safe place for resettlement of affected people. It is important to use GIS technology to establish earthquake emergency shelter planning, construction and information management. We briefly introduce the status quo of the ESED construction and planning of Lianyungang after an analysis of the necessity and feasibility of the establishment of planning, construction and information management, then outline main functions of the ESED, and finally some suggestions for planning, construction and information management are provided.