BACKGROUND AND THE PURPOSE OF THE STUDY The linear multivariate calibration models such as principal components regression (PCR) and partial least squares regressions (PLS1 and PLS2) due to the mathematical simplicity and physical or chemical interpretability are sufficient and generally preferred method for analysis of multicomponent drugs. In this study, simultaneous determination of paraceta...

In viscose production, it is important to monitor three process parameters as part of the spin-bath in order to assure a high quality of the final product: the concentrations of H2SO4, Na2SO4 and ZnSO4. During on-line production these process parameters usually show a quite high dynamics depending on the fibre type that is produced. Thus, conventional chemometric models, kept fixed during the w...

Transmembrane proteins play vital roles in maintaining the normal cell physiology. They are also important as potential drug targets. Therefore, there is an immense academic and pharmaceutical interest in these proteins. In our lab, we have tried to use chemometric approach along with other computational and experimental methods towards elucidation of transmembrane protein structures and functi...

Today's automated laboratory instruments are capable of generating prodigious volumes of high-quality measurements. Increasingly, the powerful mathematical and statistical methods of chemometrics are being called upon to help reduce these measurements to useful information. Chemometric methods have been important in automating various data-intensive functions of the clinical laboratory, includi...

partial least square and principal component regression methods were applied to various mixtures of Allura Red and Brilliant Blue to determine the concentrations. Colorants, at the same time, were analyzed with UV-spectrophotometry in chemical separation. The obtained experimental data have been evaluated by chemometric methods as Partial Least Squares (PLS) and Principle Component Regressi...