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Micellar weight determination

Np (19). Since the micellar weight determinations in this series of experiments were limited to the range of r = 0.05 to r = 0.5, which was also the range of r-values within which the maximum p(n) happened, the selected three values of surfactant ratios for the confirmation tests were considered proper and sufficient. [Pg.55]

Determination of Micellar Weight Determination of micellar weights for DSS in anhydrous and hydrous hydrocarbon solutions has been made by means of light scattering (34). [Pg.217]

Burkitt et al. [228,229] concluded that SANS is an excellent method for the determination of micellar weights of ammonium octanoate, ammonium decanoate, and ammonium perfluorooctanoate. The scattering data suggested that the ammonium perfluorooctanoate micelles are cylindrical. [Pg.415]

An alternative description of protein-containing RMs was given by Levashov et al. [148] from ultra-centrifugation studies. Water-soluble dyes (picric acid) were used to determine the molecular weights and sedimentation behavior of the non-protein-containing and protein-containing RMs. The proposed model involved two regimes of Wg (i) at low Wg (where the inner reverse micellar diameter was less than the protein diameter), the protein created a new RM around itself such that the volume of the inner cavity of the filled RM was essentially the volume of the solubihzed protein and (ii) at water contents where... [Pg.142]

Roe and co-workers (Nojima et al. 1990 Rigby and Roe 1984,1986 Roe 1986) have used SAXS to characterize micelles formed by PS-PB diblocks at low concentrations in blends with low-molecular-weight PB. Micellar dimensions and association numbers were determined for symmetric and asymmetric diblocks (Rigby and Roe 1984,1986). The effective hard sphere radius, the core radius and volume fraction of hard spheres were determined using the Percus-Yevick model (Rigby and Roe 1986). These results were compared (Roe 1986) to the predictions of the theory of Leibler et al (1983). The theory qualitatively reproduced the observed trend for the cmc to increase with temperature for blends containing a particular diblock. The cmc was found to decrease at a fixed temperature... [Pg.341]

Quinones et al. (2000) reported the successful use of neural networks to predict the half-life of a series of 30 antihistamines. The input for the network was derived from the output of CODES, a routine that generates descriptors for a structure based on atom nature, bonding, and connectivity. Attempts to correlate the half-life with the physicochemical parameters log Kow, pKa, molecular weight, molar refractivity, molar volume, parachor, and polarity were unsuccessful. In a subsequent study by Quinones-Torrelo et al. (2001), the authors correlated the half-life of 18 antihistamines with their retention in a biopartitioning micellar chromatography system with a resultant correlation coefficient (R2adj) value of 0.89. The correlation is explained in that the retention in this system is dependent on hydrophobic, electronic, and steric properties, which are also important in determining half-life. [Pg.256]

The critical micelle concentration of Span 60 in benzene has been determined as 0.0022 gram per cu. cm., the micellar molecular weight as 52,800, and the aggregation number as 94 (8, 9). Thus, the emulsifier concentrations of the foregoing polymerization experiments were considerably in excess of the critical micelle concentration. The shape and actual size of the micelles have not been... [Pg.41]


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