Your browser doesn't support javascript.
loading
Development of a High-Throughput Ion-Exchange Resin Characterization Workflow.
Liu, Chun; Dermody, Daniel; Harris, Keith; Boomgaard, Thomas; Sweeney, Jeff; Gisch, Daryl; Goltz, Bob.
Afiliación
  • Liu C; Core R&D Formulation Science, The Dow Chemical Company , Midland, Michigan 48674, United States.
  • Dermody D; Core R&D Formulation Science, The Dow Chemical Company , Midland, Michigan 48674, United States.
  • Harris K; Core R&D Formulation Science, The Dow Chemical Company , Midland, Michigan 48674, United States.
  • Boomgaard T; Core R&D Information Research, The Dow Chemical Company , Midland, Michigan 48674, United States.
  • Sweeney J; R&D Statistics, The Dow Chemical Company , Midland, Michigan 48674, United States.
  • Gisch D; Dow Water & Process Solutions , 1801 Larkin Center Drive, Midland, Michigan 48674, United States.
  • Goltz B; Dow Water & Process Solutions , 1801 Larkin Center Drive, Midland, Michigan 48674, United States.
ACS Comb Sci ; 19(6): 422-436, 2017 06 12.
Article en En | MEDLINE | ID: mdl-28488858
A novel high-throughout (HTR) ion-exchange (IEX) resin workflow has been developed for characterizing ion exchange equilibrium of commercial and experimental IEX resins against a range of different applications where water environment differs from site to site. Because of its much higher throughput, design of experiment (DOE) methodology can be easily applied for studying the effects of multiple factors on resin performance. Two case studies will be presented to illustrate the efficacy of the combined HTR workflow and DOE method. In case study one, a series of anion exchange resins have been screened for selective removal of NO3- and NO2- in water environments consisting of multiple other anions, varied pH, and ionic strength. The response surface model (RSM) is developed to statistically correlate the resin performance with the water composition and predict the best resin candidate. In case study two, the same HTR workflow and DOE method have been applied for screening different cation exchange resins in terms of the selective removal of Mg2+, Ca2+, and Ba2+ from high total dissolved salt (TDS) water. A master DOE model including all of the cation exchange resins is created to predict divalent cation removal by different IEX resins under specific conditions, from which the best resin candidates can be identified. The successful adoption of HTR workflow and DOE method for studying the ion exchange of IEX resins can significantly reduce the resources and time to address industry and application needs.
Asunto(s)
Palabras clave

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Bario / Calcio / Resinas de Intercambio Iónico / Magnesio / Nitratos Tipo de estudio: Prognostic_studies Idioma: En Revista: ACS Comb Sci Año: 2017 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Bario / Calcio / Resinas de Intercambio Iónico / Magnesio / Nitratos Tipo de estudio: Prognostic_studies Idioma: En Revista: ACS Comb Sci Año: 2017 Tipo del documento: Article