A feasibility of using 110 resin as an adsorbent for Nd(III) was examined with various chemical methods. Batch studies were carried out to determine the influence of operational conditions, such as initial pH of solution, temperature, contact time, and initial concentrations. The optimal conditions in terms of initial pH and equilibrium time was 6.0 (HAc-NaAc system) and 72 h, respectively. The maximum adsorption capacity was estimated to 308 mg/g at 298 K calculating from the Langmuir isotherm. Nd(III) ions could be well eluted by using 3.0 mol/L HCl solution and the absorbent could be regenerated and reused. Thermodynamic and kinetics parameters were studied, from which the adsorption process was spontaneous and the adsorption was endothermic in nature. The Thomas model based on the experimental column study data was used to predict the breakthrough curves and to determine the characteristics parameters of the column useful for process design. Moreover, the adsorption mechanism was proposed by the IR spectroscopic technique.
The previous experiments have shown that hydrophobic properties of 20 kinds of human's amino acid are different. It was of great significance to study whether hydrophobicity of proteins had a role in the research of the intimate relationship of proteins. Besides, it is also very important to balance the proteins'structure and function. Because of the highly complex data produced by hydrophobic proteins, it is suggested to build a computational graph model to solve this problem. In this paper, Giraph platform is used to calculate the data that come from protein interaction database (DIP). After analyzing the big graph models composed of protein data, this thesis compared the results with those of Cytoscape which is a traditional protein analysis software and finally came to the same conclusions. What's more, Cytoscape didn't work when the data of proteins were huge. But Giraph turned out to be more accurate and efficient.
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