Samuel H. Yalkowsky

Estimation of the aqueous solubility I: Application to organic nonelectrolytes

The estimation of aqueous solubilities of organic nonelectrolytes by the General Solubility Equation (GSE) as proposed by Valvani and Yalkowsky (1980) is used in this study. The data and assumptions on which the GSE are based are reevaluated, and the equation is revised. The revised GSE is validated on a set of 580 pharmaceutically, environmentally, and industrially relevant nonelectrolytes. The revised equation has a stronger theoretical background and provides a more accurate estimation of aqueous solubility.

Water Solubilities of Polynuclear Aromatic and Heteroaromatic Compounds

The water solubilities of several polynuclear aromatic and heteroaromatic hydrocarbons have been compiled and reviewed for consistency through correlations with parameters such as surface area, molecular volume, and boiling point. The carbocycles and oxygen and sulfur heterocycles were governed by the same correlative equations, thereby indicating that these heteroatoms entered into only a limited degree of hydrogen bonding. Equations representing the nitrogen heterocycles differed from their carbocyclic counterparts by an approximately constant amount, suggesting that while the solubilizing effect of the nitrogen heteroatom may be large, it tends to remain constant within a similar series of compounds.

Enhanced Intestinal Absorption of Cyclosporine in Rats Through the Reduction of Emulsion Droplet Size

The intestinal absorption of cyclosporine was measured in situ in rats using an olive oil emulsion prepared by either stirring or homogenization. The surface area of the homogenized dosage form was twice that of the stirred dosage form. The apparent permeability of cyclosporine from the homogenized emulsion was about twice that of the emulsion prepared by stirring. The examination of absorption in different intestinal segment lengths suggested the presence of an “absorption window.” The absorption of cyclosporine appeared to be concentration independent and, therefore, non-carrier mediated. The dependence of absorption upon the intestinal perfusion rate suggested that the stagnant aqueous layer is the rate-limiting barrier in cyclosporine absorption. These results indicate that the bioavailability of cyclosporine administered in an emulsion can possibly be increased by enhancing its rate of absorption through the reduction of droplet size.

Relationships between aqueous solubility and octanol-water partition coefficients

Abstract The physical chemical equations relating solubility to octanol water partition coefficient are presented and used to develop a new correlation between these quantities which includes a melting point (fugacity ratio) correction. The correlation is satisfactory for 45 organic compounds but it is not applicable to organic acids. When applied to very high molecular weight (> 290) compounds the correlation is less satisfactory; either it is believed because the data are inaccurate or because the tendency for these compounds to partition into organic phases is less than expected. This may have profound environmental implications.

Solubilization by cosolvents. Establishing useful constants for the log-linear model.

The purpose of this study was to develop constants for the log-linear cosolvent model, thereby allowing accurate prediction of solubilization in the most common pharmaceutical cosolvents: propylene glycol, ethanol, polyethylene glycol 400, and glycerin. The solubilization power (sigma) of each cosolvent was determined for a large number of organic compounds from the slope of their log-solubility vs. cosolvent volume fraction plots. The solubilization data at room temperature were either experimentally determined or obtained from the literature. The slopes of the nearly linear relationship between solubilization power and solute hydrophobicity (logK(ow)) were obtained by linear regression analysis for each considered cosolvent. Thus, knowing or calculating a compounds partition coefficient is all that is needed to predict solubilization.

Solubilization of rapamycin.

The solubilization of rapamycin, a poorly water soluble investigational immunosuppressive drug, by facilitated hydrotropy is presented. Partially water-miscible aromatic solutes (such as benzyl alcohol, benzoate, or benzoic acid) can be solubilized by water-miscible cosolvents, such as ethanol and propylene glycol. Once solubilized, the partially miscible aromatic solute becomes a solubilizing agent. This technique yielded a dramatic (>1000-fold) increase in the aqueous solubility of rapamycin.

A New Parenteral Emulsion for the Administration of Taxol

Taxol (NSC-125973) is a poorly soluble plant product that exhibits excellent antimitotic properties. This study involves the development of a new formulation for taxol. The stability of taxol in a 50% triacetin emulsion as well as possible methods of intravenous administration of this dosage form was examined. A stable emulsion was found at taxol concentrations of 10 and 15 mg/ml of emulsion. The 50% triacetin emulsion showed an intravenous LD50 of 1.2 ml/kg in Swiss-Webster mice. The 10 mg/ml taxol formulation was demonstrated to be stable upon addition to 5% dextrose iv fluids provided that small packing systems were used. The taxol–triacetin emulsion can also be intravenously injected at various rates, and it may prove to be a useful formulation for taxol.

Prediction of Drug Solubility by the General Solubility Equation (GSE)

The revised general solubility equation (GSE) proposed by Jain and Yalkowsky is used to estimate the aqueous solubility of a set of organic nonelectrolytes studied by Jorgensen and Duffy. The only inputs used in the GSE are the Celsius melting point (MP) and the octanol water partition coefficient (K(ow)). These are generally known, easily measured, or easily calculated. The GSE does not utilize any fitted parameters. The average absolute error for the 150 compounds is 0.43 compared to 0.56 with Jorgensen and Duffys computational method, which utilitizes five fitted parameters. Thus, the revised GSE is simpler and provides a more accurate estimation of aqueous solubility of the same set of organic compounds. It is also more accurate than the original version of the GSE.

Prediction of Aqueous Solubility of Organic Compounds by the General Solubility Equation (GSE)

The revised general solubility equation (GSE) is used along with four different methods including Huuskonens artificial neural network (ANN) and three multiple linear regression (MLR) methods to estimate the aqueous solubility of a test set of the 21 pharmaceutically and environmentally interesting compounds. For the selected test sets, it is clear that the GSE and ANN predictions are more accurate than MLR methods. The GSE has the advantages of being simple and thermodynamically sound. The only two inputs used in the GSE are the Celsius melting point (MP) and the octanol water partition coefficient (K(ow)). No fitted parameters and no training data are used in the GSE, whereas other methods utilize a large number of parameters and require a training set. The GSE is also applied to a test set of 413 organic nonelectrolytes that were studied by Huuskonen. Although the GSE uses only two parameters and no training set, its average absolute errors is only 0.1 log units larger than that of the ANN, which requires many parameters and a large training set. The average absolute error AAE is 0.54 log units using the GSE and 0.43 log units using Huuskonens ANN modeling. This study provides evidence for the GSE being a convenient and reliable method to predict aqueous solubilities of organic compounds.

Estimation of aqueous solubility of organic compounds by using the general solubility equation

The general solubility equation (GSE) proposed by Jain and Yalkowsky was used to estimate aqueous solubility of 1026 non-electrolytes. The only parameters used in the GSE are melting points (MP) and octanol-water partition coefficients (Kow). No fitted parameters and no training set are employed in the GSE. The experimental solubility values were taken from the AQUASOL dATAbASE. The average absolute error and the root-mean-square error in the solubility estimates are 0.38 and 0.53 log units, respectively. Thus, with an observed MP and calculated Kow; the users can obtain a reasonable estimation of the aqueous solubility of any organic non-electrolyte.