title: Multi-criteria decision making development of ion chromatographic method for determination of inorganic anions in oilfield waters based on artificial neural networks retention model.
abstract: This paper describes the development of ad hoc methodology for determination of inorganic anions in oilfield water, since their composition often significantly differs from the average (concentration of components and/or matrix). Therefore, fast and reliable method development has to be performed in order to ensure the monitoring of desired properties under new conditions. The method development was based on computer assisted multi-criteria decision making strategy. The used criteria were: maximal value of objective functions used, maximal robustness of the separation method, minimal analysis time, and maximal retention distance between two nearest components. Artificial neural networks were used for modeling of anion retention. The reliability of developed method was extensively tested by the validation of performance characteristics. Based on validation results, the developed method shows satisfactory performance characteristics, proving the successful application of computer assisted methodology in the described case study.
authors.affiliation: University of Zagreb, Faculty of Chemical Engineering and Technology, Zagreb, Croatia.
authors.forename: Stefica Cerjan
authors.initials: SC
authors.lastname: Stefanović
authors.forename: Tomislav
authors.initials: T
authors.lastname: Bolanča
authors.forename: Melita
authors.initials: M
authors.lastname: Luša
authors.forename: Sime
authors.initials: S
authors.lastname: Ukić
authors.forename: Marko
authors.initials: M
authors.lastname: Rogošić