Upon successful completion of the course the student is expected to:
- understand the chromatographic separation mechanisms, after acquiring the theoretical background on analytical techniques and physicochemical processes,
- understand how the chromatographic factors are affected (composition of the mobile phase, pH of the mobile phase, flow rate and chromatographic column temperature) in the retention of the compounds and be able to choose the appropriate chromatographic model,
- develop critical thinking on the interpretation and evaluation of chromatographic experimental data,
- to become familiar with the use of Microsoft Excel spreadsheets and appropriate algorithms (macro-commands-VBA) for adapting experimental data, predicting compound retention times and optimizing chromatographic conditions,
- follow the appropriate steps and to apply the fitting, prediction and optimization algorithms, in order to identify the optimal conditions for the separation of the chromatographic peaks of the under analysis mixture.
Additional bibliography for study
1.Teaching Simulation and Computer-Aided Separation Optimization in Liquid Chromatography by Means of Illustrative Microsoft Excel Spreadsheets. S. Fasoula, P. Nikitas, and A. Pappa-Louisi. J. Chem. Educ. 94 (2017) 1167−1173.
2.Separation optimization in HPLC analysis implemented in R programming language. Ch.Zisi,A.Pappa-Louisi,P.Nikitas, J. Chrom. A, 1617 (2020) 460823(doi:10.1016/j.chroma.2019.460823)