Optimization of IC Separation Based on Isocratic-to-Gradient Retention Modeling in Combination with Sequential Searching or Evolutionary Algorithm
| Autor: | Šime Ukić, Marko Rogošić, Mirjana Novak, Ena Šimović, Vesna Tišler, Tomislav Bolanča |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: | |
| Zdroj: | Journal of Analytical Methods in Chemistry, Vol 2013 (2013) |
| Druh dokumentu: | article |
| ISSN: | 2090-8865 2090-8873 49302531 |
| DOI: | 10.1155/2013/549729 |
| Popis: | Gradient ion chromatography was used for the separation of eight sugars: arabitol, cellobiose, fructose, fucose, lactulose, melibiose, N-acetyl-D-glucosamine, and raffinose. The separation method was optimized using a combination of simplex or genetic algorithm with the isocratic-to-gradient retention modeling. Both the simplex and genetic algorithms provided well separated chromatograms in a similar analysis time. However, the simplex methodology showed severe drawbacks when dealing with local minima. Thus the genetic algorithm methodology proved as a method of choice for gradient optimization in this case. All the calculated/predicted chromatograms were compared with the real sample data, showing more than a satisfactory agreement. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|