engleski

„OptIC“: NEW IC METHOD DEVELOPMENT SOFTWARE

Ion chromatographic samples are often very complex. Extreme differences in peak area of neighboring components or similar retention times can cause unsatisfactory separation. Although isocratic elution provides the best resolution, it is obtained usually at very low eluent concentration. Consequently, the analysis time is large and chromatographic bands of strongly retained components are particularly broadened, which diminishes the accuracy and precision of the analysis. Therefore, gradient elution is becoming increasingly popular in modern IC. By varying the gradient profile, it is possible to obtain satisfactory separation in a much shorter analysis time. The process of finding the optimum IC separation conditions for any solution/stationary phase combination takes some time, even in the case of simply switching from an old to a new column of the same type. Initial experiments are needed in any case. Their number can be quite large in case of searching for an optimum gradient profile. This lecture focuses on presenting different modeling and optimization approaches in gradient elution ion chromatography. These methodologies are based on complementary strategies including artificial neural networks, numerical integration approach using theoretical models, experimental data transferring from isocratic to gradient elution mode, signal processing and optimization based on multi criteria decision making. Each approach has advantages and disadvantages ; however, extensive experimental testing of designed models resulted in developed software that contains all of the extracted information and conclusions.

OptIC; method development; software

nije evidentirano