Affiliation:
1. Vinča Institute of Nuclear Sciences, Belgrade
2. Faculty of Technology and Metallurgy, Belgrade
Abstract
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.
Funder
Ministry of Education, Science and Technological Development of the Republic of Serbia
Publisher
National Library of Serbia
Subject
General Chemical Engineering,General Chemistry
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献