• Energy Research

Experimental solubilities of salbutamol and salbutamol sulphate in ethanol + water mixtures at 25 °C are reported. The solubility of salbutamol was found to increase with the addition of ethanol, and reached a maximum value at an ethanol volume fraction of 0.8. The solubility of salbutamol sulphate decreased with increasing ethanol concentration, and reached a minimum value in ethanol. The Jouyban-Acree model correlated the measured salbutamol and salbutamol sulphate solubility data to within mean relative deviations (MRD) of 3.4 and 13.4, respectively. Solubilities were predicted using previously trained models developed for crystalline non-electrolyte and electrolyte solutes. The trained models for non-electrolytes and electrolytes produced the prediction MRDs of 22.4 and 19.8, respectively. Crown Copyright © 2012 Published by Elsevier B.V. All rights reserved.

The Jouyban-Acree model has been used to predict the solubility of paracetamol in water-ethanol-propylene glycol binary and ternary mixtures based on model constants computed using a minimum number of solubility data of the solute in water-ethanol, water-propylene glycol and ethanol-propylene glycol binary mixtures. Three data points from each binary solvent system and solubilities in neat solvents were used to calculate the binary interaction parameters of the model. Then the solubility at other binary solvent compositions as well as in a number of ternary solvents were predicted, and the mean percentage deviation (+/-S.D.) of predicted values from experimental solubilities was 7.4(+/-6.1)%.

The electrophoretic mobilities of alprenolol have been determined in a mixed solvent background electrolyte system containing sodium acetate (40 mM)+acetic acid (40 mM) as buffering agent and different volume fractions of water, methanol and ethanol using capillary electrophoresis. The mobility of alprenolol has been used to test the prediction capability of a model trained by previously reported mobility data of five beta-blocker drugs at the same electrophoretic conditions. The average percentage mean deviations (APMD) between experimental and predicted values were used as an accuracy criterion. The APMD (+/-SD) obtained for alprenolol data in binary/ternary solvent electrolyte system employing the mobility values in mono-solvent buffers was 4.37 (+/-3.50)% and the corresponding value for an ab initio prediction method was 7.65 (+/-4.30)%.

Background: Ethanol is considered as a toxic compound when used in excess amounts. The toxic concentration for ethanol was reported to be 1000 – 2000 μg.mL-1 in plasma and serum samples. The aim of the current study was to develop a rapid and catalyst free colorimetric method for determination of ethanol in exhaled breath condensate (EBC) sample. Methods: A redox reaction with dichromate-based colorimetric method was used for determination of ethanol in EBC. Results: The proposed method shows a good sensitivity and selectivity for ethanol in compared with other compounds and biomarkers existing in EBC. The color change can be easily observed by the naked eye in the presence of ethanol in the range of 300 - 8000 μg.mL-1. The quantitative detection of ethanol was fully validated and used for determination of ethanol in EBC of alcohol administrated individuals. Conclusion: This catalyst free colorimetric method has great potential for ethanol determination owing to many desirable properties such as high reliability, high sensitivity, and fast response time.