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Solvent compositions during mixed

Predicted Compositions during Mixed Solvent Evaporation from Resin Solutions Using the Analytical Solutions of Groups Method... [Pg.19]

Numerous mobile phases (development solvents) are available for lipid work (see Table 1). They often consist of solvent mixtures that vary in polarity, along with small amounts of salts or acids. Because a mixed solvent system allows for an undefined gradient in solvent composition during movement on the silica gel layer, samples with varying polarity can be developed on a single plate in TLC the velocity of the solvent movement is reduced as the solvent front nears the top of the plate optimal separation is obtained with bands or spots with Revalues between 0.1 and 0.6 (63). [Pg.692]

Fig. 30.1. Volumes of minerals precipitated during a reaction model simulating the mixing at reservoir temperature of seawater into formation fluids from the Miller, Forties, and Amethyst oil fields in the North Sea. The reservoir temperatures and compositions of the formation fluids are given in Table 30.1. The initial extent of the system in each case is 1 kg of solvent water. Not shown for the Amethyst results are small volumes of strontianite, barite, and dolomite that form during mixing. Fig. 30.1. Volumes of minerals precipitated during a reaction model simulating the mixing at reservoir temperature of seawater into formation fluids from the Miller, Forties, and Amethyst oil fields in the North Sea. The reservoir temperatures and compositions of the formation fluids are given in Table 30.1. The initial extent of the system in each case is 1 kg of solvent water. Not shown for the Amethyst results are small volumes of strontianite, barite, and dolomite that form during mixing.
One of the most attractive features of colloidal semiconductor systems is the ability to control the mean particle size and size distribution by judicious choice of experimental conditions (such as reactant concentration, mixing regimen, reaction temperature, type of stabilizer, solvent composition, pH) during particle synthesis. Over the last decade and a half, innovative chemical [69], colloid chemical [69-72] and electrochemical [73-75] methods have been developed for the preparation of relatively monodispersed ultrasmall semiconductor particles. Such particles (typically <10 nm across [50, 59, 60]) are found to exhibit quantum effects when the particle radius becomes smaller than the Bohr radius of the first exciton state. Under this condition, the wave functions associated with photogenerated charge carriers within the particle (vide infra) are subject to extreme... [Pg.282]

Volume fraction is frequently used to define the composition of mixed solvent systems, or to express the solubility of one solvent in another. However, since the volumes of solutions exhibit a dependence on temperature, the expression of concentrations in terms of volume fraction requires a simultaneous specification of the temperature. In addition, since volume defects may occur during the mixing of the solvents, and since these will alter the final obtained volume, defining the solubility of a solution in terms of volume fraction can lead to inaccuracies that can be avoided through the use of other concentration parameters. [Pg.4]

This idea of a favorable solvation sheath is in agreement with observations made during preferential adsorption studies in ternary systems exhibiting cosolvency. Maximum coil expansion is usually found to occur at a mixed solvent composition where there is not preferential adsorption. In other words, the driving force is an attempt to maintain the most favorable composition, thereby minimizing polymer-polymer contacts. However, the balance of interactions giving rise to cosolvency and to inversion in preferential sorption are different, so that both phenomena have to be studied separately. This has been exemplified by a series of systems in which the molecular sizes of the liquid solvents and the nature of their interactions are varied and each plays its role in determining maximum sorption and inversion in preferential sorption. [Pg.268]

The electrical conductivity of polymer-CNT composites can be explained by percolation theory. The conductivity depends upon the filler concentration (commonly named as percolation threshold). The choice of polymer, nanotube type and solvent used during synthesis all affect the percolation threshold. In addition to it the processing technique, mixing stresses applied during preparation, as well as the shaping procedure play imperative roles [15]. [Pg.309]


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