Optimization of IC Separation Based on Isocratic-to-Gradient Retention Modeling in Combination with Sequential Searching or Evolutionary Algorithm. (14th November 2013)

• Record Type: Journal Article
• Authors: Ukić, Šime; Rogošić, Marko; Novak, Mirjana; Šimović, Ena; Tišler, Vesna; Bolanča, Tomislav
• Other Names: de la Guardia Miguel Academic Editor.
• Is Part Of: Journal of analytical methods in chemistry. Volume 2013(2013)
• Publication Date: 2013-11-14
• Subjects: Chemistry, Analytic -- Periodicals; Chemistry, Analytic -- Technique -- Periodicals; 543.05
• DOI: 10.1155/2013/549729
• Languages: English
• ISSNs: 2090-8865

Abstract

Abstract : 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.