Simulation and optimization of retention in ion chromatography using virtual column 2 software

被引:36
作者
Madden, JE
Shaw, MJ
Dicinoski, GW
Avdalovic, N
Haddad, PR
机构
[1] Univ Tasmania, Australian Ctr Res Separat Sci, Hobart, Tas 7001, Australia
[2] Dionex Chem Corp, Sunnyvale, CA 94088 USA
关键词
D O I
10.1021/ac020280w
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
A new software package, Virtual Column 2, is described for the simulation and optimization of the separation of inorganic anions by ion chromatography (IC). The software uses a limited amount of experimental retention data acquired according to a correct experimental design to predict retention times for analytes over a designated search area of eluent compositions. The experimental retention data are used to solve a new retention model, called the linear solvent strength model, empirical approach (LSSM-EA), which then enables prediction of retention times for all eluent compositions in the search area. The theoretical development of LSSM-EA and the processes used for solving the equations are discussed. Virtual Column 2 can be used for eluents containing one or two competing ions, and the software contains retention databases for up to 33 analytes on the Dionex AS9A-HC, AS4A-SC, and AS14A analytical columns with carbonate-bicarbonate eluents and the Dionex AS10, AS15, and AS16 analytical columns with hydroxide eluents (results for the AS10 and AS15 columns are not discussed in the present study). Virtual Column 2 has been evaluated extensively and is shown to give predicted retention times that in most cases agree with experimentally determined data to within 5%. The software has uses in practical IC method development, education and training in IC, and refinement of existing IC methodology. A free version of this program is available by download at www.virtualcolumn.com.
引用
收藏
页码:6023 / 6030
页数:8
相关论文
共 20 条
[1]   Selection of criteria for comparing and evaluating the optimization of separation in ion chromatography [J].
Cerjan-Stefanovic, S ;
Bolanca, T ;
Curkovic, L .
JOURNAL OF LIQUID CHROMATOGRAPHY & RELATED TECHNOLOGIES, 2000, 23 (14) :2169-2179
[2]  
Haddad P., 1990, IC PRINCIPLES APPL
[3]   EFFECTS OF PEAK TAILING ON COMPUTER OPTIMIZATION PROCEDURES FOR HIGH-PERFORMANCE LIQUID-CHROMATOGRAPHY .2. AN OPTIMIZATION ROUTINE FOR TAILED PEAKS [J].
HADDAD, PR ;
SEKULIC, S .
JOURNAL OF CHROMATOGRAPHY, 1988, 459 :79-90
[4]  
HADDAD PR, UNPUB J CHEM ED
[5]  
Hajos P, 1998, ADV CHROMATOGR, V39, P311
[6]   PREDICTION OF RETENTION FOR HALIDE ANIONS AND OXOANIONS IN SUPPRESSED ION CHROMATOGRAPHY USING MULTIPLE SPECIES FLUENT [J].
HAJOS, P ;
HORVATH, O ;
DENKE, V .
ANALYTICAL CHEMISTRY, 1995, 67 (02) :434-441
[7]   Prediction of retention times for anions in ion chromatography using artificial neural networks [J].
Havel, J ;
Madden, JE ;
Haddad, PR .
CHROMATOGRAPHIA, 1999, 49 (9-10) :481-488
[9]   PREDICTION OF RETENTION CHARACTERISTICS OF MULTIPROTIC ANIONS IN ION CHROMATOGRAPHY [J].
JENKE, DR .
ANALYTICAL CHEMISTRY, 1994, 66 (24) :4466-4470
[10]   MODELS FOR PREDICTION OF RETENTION IN NONSUPPRESSED ION CHROMATOGRAPHY [J].
JENKE, DR ;
PAGENKOPF, GK .
ANALYTICAL CHEMISTRY, 1984, 56 (01) :88-91