New approach application of data transformation in mean centering of ratio spectra method.

Most of mean centering (MCR) methods are designed to be used with data sets whose values have a normal or nearly normal distribution. The errors associated with the values are also assumed to be independent and random. If the data are skewed, the results obtained may be doubtful. Most of the time, it was assumed a normal distribution and if a confidence interval includes a negative value, it was cut off at zero. However, it is possible to transform the data so that at least an approximately normal distribution is attained. Taking the logarithm of each data point is one transformation frequently used. As a result, the geometric mean is deliberated a better measure of central tendency than the arithmetic mean. The developed MCR method using the geometric mean has been successfully applied to the analysis of a ternary mixture of aspirin (ASP), atorvastatin (ATOR) and clopidogrel (CLOP) as a model. The results obtained were statistically compared with reported HPLC method.

Paracetamol bioavailability study by means of salivary samples.

Bioequivalence of two different marketed paracetamol tablets, Decamol (500 mg, B.N., 4151, Megapharm) and Otamol (500 mg, B.N, 41093, Al-Quds-pharm), were compared to the innovator product, Dexamol (500 mg, B.N.12603, Dexxon). The bioavailability study was carried out in healthy volunteers in a crossover sequence using saliva drug levels as a parameter. In vitro studies, it was shown that all three products, Decamol, Otamol and Dexamol, were pharmaceutically equivalent. The bioavailability data obtained could be correlated to the in vitro data of the three tablet brands. In vivo investigations indicated no statistically significant differences in the bioavailability of Decamol and Otamol from Dexamol tablets. Therefore, all the three products are considered bioequivalent.