Coupling Classical Analytical Methods with Modeling in Routine Analysis Tests - Merits and Drawbacks

摘要

The rapid development of the analytical instrumentation, used in routine analysis tests in both laboratory and industrial scale, has been accompanied by the application of different smart software. Such combinations are recommended since they are inexpensive while at the same time they can readily ensure reliable results in short timeframe. The present work is an attempt to provide simple solutions in difficult analytical issues (e.g. the simultaneous determination of binary and/or more complex mixtures) through the development of three different methods. Therefore, metformin, phenformin, chlorpopamide, glipizide, tolbutamide and glibenclamide were employed to study techniques which differ in terms of experimental equipment, mathematical approach as well as data processing. The methods applied are: i) UV Spectrophotometry coupled with the chemometric technique derivative ratio or the multivariate method Partial Least Squares to Latent Structures (PLS), and ii) High Performance Liquid Chromatography (HPLC) in combination with experimental design methodology and crossed D-optimal process. Accuracy control includes preparation of a series of samples (solutions and compact formulations) with different drug concentration whose determination was tested. It was crucial to verify that the used techniques were versatile and handy as well as to evaluate them in terms of recovery and repeatability percentages and linearity.