Prediction of peptide retention volumes in the gradient reversed phase HPLC

A method of computation of retention volumes of linear peptides of known composition that contain no more than 25 amino acids in gradient reversed phase HPLC was developed. The method is suitable for various acetonitrile gradient profiles. The calculations were carried out on the basis of a statistical model, the parameters of which were experimental dependences of the retention of individual amino acids on acetonitrile concentration. The method developed was used to predict the chromatographic behavior of 34 peptides in four different acetonitrile gradients. The correlation coefficients between the predicted and experimental retention volumes were more than 0.9, and the average relative error of prediction was less than 15%. The English version of the paper: Russiatn .lournal of Bioorganic Chemistry, 2008, vol. 34, no. 2; see also http://www.maik.ru.     

Impact assessment of nuclear and thermal power plants on zooplankton in cooling ponds

The current state of assessment of nuclear and thermal power plant toxic effects on zooplankton entrained in the water supply hardware is reviewed. Common research approaches and their inherent problems are considered and particular emphasis is given to specific features of cooling reservoirs and their ecosystems. Complex analysis of zooplankton mortality in various conditions and areas of a cooling reservoir is presented. Our data from field and laboratory studies allow major factors resulting in damage to and mortality of zooplankton to be determined and suggest that, among all plankton species in the cooling reservoir, zooplankton is the most sensitive group to entrainment-induced stress. Our results clearly demonstrate that both field observations and laboratory studies are required to reliably estimate power plant impact on zooplankton and to predict mortality of organisms.     

Prediction of peptide retention volumes in gradient reversed phase HPLC

A method of computation of retention volumes of linear peptides of known composition that contain no more than 25 amino acids in gradient reversed phase HPLC was developed. Tha method is suitable for various acetonitrile gradient profiles. The calculations were carried out on the basis of a statistical model, the parameters of which were experimental dependences of the retention of individual amino acids on acetonitrile concentration. The method developed was used to predict the chromatographic behavior of 34 peptides in four different acetonitrile gradients. The correlation coefficients between the predicted and experimental retention volumes were more than 0.9, and the average relative error of prediction was less than 15%.