Modelling of cations retention in ion chromatography with methanesulfonic acid as eluent
The two retention models, the linear solvent strength model (LSS) and the quadratic relationship, in addition to artificial neural network (ANN) approach, were compared in their ability to predict the retention behaviour of common cations (Li, Na, NH4, K, Mg, and Ca) in isocratic ion chr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Association of Chemical Engineers of Serbia
2017-01-01
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| Series: | Hemijska Industrija |
| Subjects: | |
| Online Access: | http://www.doiserbia.nb.rs/img/doi/0367-598X/2017/0367-598X1600014T.pdf |
| Summary: | The two retention models, the linear solvent strength model (LSS) and the
quadratic relationship, in addition to artificial neural network (ANN)
approach, were compared in their ability to predict the retention behaviour
of common cations (Li, Na, NH4, K, Mg, and Ca) in isocratic ion
chromatography using the methanesulfonic acid (MSA) eluent. Over wide
variations in the MSA concentration, the quadratic model shows a quite good
prediction power. LSS can be used only for monovalent cations and in the
proximity of the experimental design point. ANN fails to predict the
retention for the data not included in the training set. To find the optimal
conditions in the experimental design, the normalized resolution product as a
chromatographic objective function was employed. The optimum MSA
concentration in the eluent on a Dionex CS12 column was found to be 18 mM,
with the total analysis time of less than 10 min. [Projekat Ministarstva
nauke Republike Srbije, br. III43009] |
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| ISSN: | 0367-598X 2217-7426 |