Comparison of Retention Modeling in Ion Chromatography by Using Multiple Linear Regression and Artificial Neural Networks

References

• Weiss , J. 1995 . Ion Chromatography , 2nd Ed. Weinheim : VCH .
   Google Scholar
• Fritz , J. S. and Gjerde , D. T. 2000 . Ion Chromatography , 3rd Ed. New York : Wiley–VCH .
   Google Scholar
• Thienpont , L. M. , Van Nuwenborg , J. E. and Stöckl , D. 1997 . Ion chromatography as reference method for serum cations . J. Chromatogr. A , 789 : 557 – 568 .
   Web of Science ®Google Scholar
• Buldini , P. L. , Cavalli , S. and Trifirò , A. 1997 . State‐of‐the‐art ion chromatographic determination of inorganic ions in food . J. Chromatogr. A , 789 : 529 – 548 .
   PubMed Web of Science ®Google Scholar
• Haddad , P. R. , Doble , P. and Macka , M. 1999 . Developments in sample preparation and separation techniques for the determination of inorganic ions by ion chromatography and capillary electrophoresis . J. Chromatogr. A , 856 : 145 – 177 .
   PubMed Web of Science ®Google Scholar
• Lopez‐Ruiz , B. 2000 . Advances in the determination of inorganic anions by ion chromatography . J. Chromatogr. A , 881 : 607 – 627 .
   PubMed Web of Science ®Google Scholar
• Sarzanini , C. 2002 . Recent developments in ion chromatography . J. Chromatogr. A , 956 : 3 – 13 .
   PubMed Web of Science ®Google Scholar
• Shaw , M. J. and Haddad , P. R. 2004 . The determination of trace metal pollutants in environmental matrices using ion chromatography . Environment International , 30 ( 3 ) : 403 – 431 .
   PubMedGoogle Scholar
• Madden , J. E. and Haddad , P. R. 1998 . Critical comparison of retention models for optimisation of the separation of anions in ion chromatography: I. Non‐suppressed anion chromatography using phthalate eluents and three different stationary phases . J. Chromatogr. A , 829 : 65 – 80 .
   Web of Science ®Google Scholar
• Madden , J. E. and Haddad , P. R. 1999 . Critical comparison of retention models for the optimisation of the separation of anions in ion chromatography: II. Suppressed anion chromatography using carbonate eluents . J. Chromatogr. A , 850 : 29 – 41 .
   PubMed Web of Science ®Google Scholar
• Gjerde , D. T. , Schmuckler , G. and Fritz , J. S. 1980 . Anion chromatography with low‐conductivity eluents. II . J. Chromatogr. A , 187 : 35 – 45 .
   Web of Science ®Google Scholar
• Haddad , P. R. and Cowie , C. E. 1984 . Computer‐assisted optimization of eluent concentration and pH in ion chromatography . J. Chromatogr. , 303 : 321 – 330 .
   Web of Science ®Google Scholar
• Jenke , D. R. and Pagenkopf , G. K. 1984 . Optimization of anion separation by nonsuppressed ion chromatography . Anal. Chem. , 56 : 85 – 88 .
   Web of Science ®Google Scholar
• Jenke , D. R. and Pagenkopf , G. K. 1984 . Models for prediction of retention in nonsuppressed ion chromatography . Anal. Chem. , 56 : 88 – 91 .
   Web of Science ®Google Scholar
• Jenke , D. R. 1984 . Modeling of analyte behavior in indirect photometric chromatography . Anal. Chem. , 56 : 2674 – 2681 .
   Google Scholar
• Maruo , M. , Hirayama , N. and Kuwamoto , T. 1989 . Ion chromatographic elution behaviour and prediction of the retention of inorganic monovalent anions using a phosphate eluent . J. Chromatogr. , 481 : 315 – 322 .
   Web of Science ®Google Scholar
• Jenke , D. R. 1994 . Prediction of retention characteristics of multiprotic anions in ion chromatography . Anal. Chem. , 66 : 4466 – 4470 .
   Web of Science ®Google Scholar
• Hajos , P. , Horvath , O. and Denke , V. 1995 . Prediction of retention for halide anions and oxoanions in suppressed ion chromatography using multiple species eluent . Anal. Chem. , 67 : 434 – 441 .
   Web of Science ®Google Scholar
• Novič , Ma. , Zupan , J. and Novič , Mi. 2001 . Computer simulation of ion chromatography separation: an algorithm enabling continuous monitoring of anion distribution on an ion‐exchange chromatography column . J. Chromatogr. A , 922 : 1 – 11 .
   PubMedGoogle Scholar
• Sacchero , G. , Buzzoniti , M. C. , Sarzanini , C. , Mentasti , E. , Metting , H. J. and Coenegracht , P. M.J. 1998 . Comparison of prediction power between theoretical and neural‐network models in ion‐interaction chromatography . J.Chromatogr. A , 799 : 35 – 45 .
   Web of Science ®Google Scholar
• Madden , J. E. , Avdalovic , N. , Jackson , P. E. and Haddad , P. R. 1999 . Critical comparison of retention models for optimisation of the separation of anions in ion chromatography: III. Anion chromatography using hydroxide eluents on a Dionex AS11 stationary phase . J. Chromatogr A , 837 : 65 – 74 .
   Web of Science ®Google Scholar
• Havel , J. , Madden , J. E. and Haddad , P. R. 1999 . Prediction of retention times for anions in ion chromatography using artificial neural networks . Chromatographia , 49 : 481 – 488 .
   Web of Science ®Google Scholar
• Madden , J. E. , Avdalovic , N. , Haddad , P. R. and Havel , J. 2001 . Prediction of retention times for anions in linear gradient elution ion chromatography with hydroxide eluents using artificial neural networks . J. Chromatogr. A , 910 : 173 – 179 .
   PubMed Web of Science ®Google Scholar
• Jimenez , O. and Marina , M. L. 1997 . Retention modeling in micellar liquid chromatography . J. Chromatogr. A , 780 : 149 – 163 .
   Web of Science ®Google Scholar
• Garcia‐Alvarez‐Coque , M. C. , Torres‐Lapasio , J. R. and Baeza‐Baeza , J. J. 1997 . Modelling of retention behaviour of solutes in micellar liquid chromatography . J. Chromatogr. A , 780 : 129 – 148 .
   Web of Science ®Google Scholar
• Mulholland , M. , Hibbert , D. B. , Haddad , P. R. and Parslov , P. A. 1995 . Comparison of classification in artificial intelligence, induction versus a self‐organising neural networks . Chemom. Intell. Lab. Syst. , 30 : 117 – 128 .
   Google Scholar