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Solvent extraction computer modelling

Computational Chemistry in Modeling Solvent Extraction of Metal Ions... [Pg.6]

Nucleic acids, DNA and RNA, are attractive biopolymers that can be used for biomedical applications [175,176], nanostructure fabrication [177,178], computing [179,180], and materials for electron-conduction [181,182]. Immobilization of DNA and RNA in well-defined nanostructures would be one of the most unique subjects in current nanotechnology. Unfortunately, a silica surface cannot usually adsorb duplex DNA in aqueous solution due to the electrostatic repulsion between the silica surface and polyanionic DNA. However, Fujiwara et al. recently found that duplex DNA in protonated phosphoric acid form can adsorb on mesoporous silicates, even in low-salt aqueous solution [183]. The DNA adsorption behavior depended much on the pore size of the mesoporous silica. Plausible models of DNA accommodation in mesopore silica channels are depicted in Figure 4.20. Inclusion of duplex DNA in mesoporous silicates with larger pores, around 3.8 nm diameter, would be accompanied by the formation of four water monolayers on the silica surface of the mesoporous inner channel (Figure 4.20A), where sufficient quantities of Si—OH groups remained after solvent extraction of the template (not by calcination). [Pg.134]

Coy, F.B. 2002. Developing computer models for the UREX solvent extraction process and performing a sensitivity analysis of variables used for optimizing flowsheets for actinide transmutation. Thesis. The University of Texas at Austin. [Pg.39]

Extraction DCs values have been shown to be affected most strongly by the potassium concentration in the feed, temperature variation, nitrate concentration, and hydroxide concentration [41,49-51,53,54], Flowsheet design parameters include O/A ratios, number of extraction stages, and possibly temperature control, and the computer model developed for CSSX extraction behavior [53,54] may be employed to estimate the values of DCs for various waste compositions at 25 °C. The model remains to be expanded to cover expected changes in some compositional variables (especially high K+ concentrations), temperature, and concentrations of solvent components. [Pg.397]

CFD has also been applied to analyze the flow patterns in a special counter-current solvent extraction column (Angelov et al, 1990). They used a singlephase flow representation and a k- turbulence model to compute the flow patterns in a periodic structure of the column. Validation of the computational results was achieved by applying LDA to obtain experimental data on the velocity profiles. CFD is a very useful tool here because the optimization of the performance of the extraction column from a geometrical point of view can be achieved with relative ease in comparison with a pure empirical strategy. [Pg.259]

The radio-HPLC equipment considered of 2 Waters model 6000 A pumps, a Waters 660 solvent programmer, a Waters U6K injector, a Varian Varichrom UV-VIS spectrophotometric detector, a FMI LB 5031 scintillation cocktail pump, a Berthold Radioactivity Monitor LB 504 fitted out with an 800-pl flow-cell and a Spectra-Physics SP 4100 computing integrator. Dried extracts were dissolved in minimal amounts of dimethylsulphoxide for injection. [Pg.169]

Most originators of computational methods have been careful to point out the theoretical limitations of each method, but the assessor must also Impose his own limitations in modeling when studying actual plant units. This part of the assessors study becomes more prevalent once the basic plant design has moved away from the desirable safe-geometry plant into the safe-by-operational-control plant. This then brings into play the calculational techniques of chemical behavior i.e., dynamic behavior of plants used for solvent extraction operations, and also the noncalculable human behavior or response factor. [Pg.572]

Free-energy perturbation A computational model that calculates properties for solvated and solvent-free hosts, guests, and complexes to extract the contributions of solvation on complex formation. [Pg.3773]

The purpose of this chapter is to discuss the task of chemical model determination (CMD) not only with respect to solvent extraction (SX) and liquid membranes (LM) but also to give overview of the fundamentals and also to elucidate the problems of extraction equilibria computation more deeply. There is no intention of providing an exhaustive description of computation in extraction systems due to the limited space and because it is not necessary. Also no exhaustive review of the computer programs will be given here but will be limited to the most important questions. [Pg.60]

Biochemistry and chemistry takes place mostly in solution or in the presence of large quantities of solvent, as in enzymes. As the necessary super-computing becomes available, molecular dynamics must surely be the method of choice for modeling structure and for interpreting biological interactions. Several attempts have been made to test the capability of molecular dynamics to predict the known water structure in crystalline hydrates. In one of these, three amino acid hydrates were used serine monohydrate, arginine dihydrate and homoproline monohydrate. The first two analyses were by neutron diffraction, and in the latter X-ray analysis was chosen because there were four molecules and four waters in the asymmetric unit. The results were partially successful, but the final comments of the authors were "this may imply that methods used currently to extract potential function parameters are insufficient to allow us to handle the molecular-level subtleties that are found in aqueous solutions" (39). [Pg.25]


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