Optimization of IC Separation Based on Isocratic-to-Gradient Retention Modeling in Combination with Sequential Searching or Evolutionary Algorithm

Optimization of IC Separation Based on Isocratic-to-Gradient Retention Modeling in Combination with Sequential Searching or Evolutionary Algorithm

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 retenti...

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Bibliographic Details
Published in:Journal of analytical methods in chemistry Vol. 2013; no. 2013; pp. 1 - 11
Main Authors: Ukić, Šime, Rogošić, Marko, Novak, Mirjana, Šimović, Ena, Tišler, Vesna, Bolanča, Tomislav
Format: Journal Article
Language:English
Published: Cairo, Egypt Hindawi Puplishing Corporation 01-01-2013
Hindawi Publishing Corporation
Hindawi Limited
Subjects:
Fructose
Fucose
Genetic algorithms
Lactulose
Mathematical models
Methodology
Optimization
Separation
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Summary: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.
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Academic Editor: Miguel de la Guardia
ISSN:2090-8865
2090-8873
DOI:10.1155/2013/549729