Application of genetic algorithms and response surface analysis for the optimization of batch chromatographic systems

Biochemical Engineering Journal

Volumn 63, Issue , 2012, Pages 66-75

  Treier, Katrin ^a   Lester, Philip ^b   Hubbuch, Jürgen ^a,c  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

^b GENENTECH INC   (United States)

^c BASF SE   (Germany)

Author keywords

Chromatography; Downstream processing; Genetic algorithms; High throughput screening; Optimisation; Scale up

Indexed keywords

BATCH MODES; BIOPHARMACEUTICAL INDUSTRY; CATION EXCHANGES; CHROMATOGRAPHIC METHODS; CHROMATOGRAPHIC SYSTEMS; DATA USAGE; DOWNSTREAM PROCESS; DOWNSTREAM-PROCESSING; GENETIC-ALGORITHM OPTIMIZATIONS; HIGH THROUGHPUT; HIGH THROUGHPUT EXPERIMENTATION; HIGH THROUGHPUT SCREENING; INITIAL POPULATION; LIQUID HANDLING; MODEL-BASED OPC; OPTIMISATIONS; PACKED BED COLUMN; PARAMETER DEPENDENCY; PROCESS DEVELOPMENT; PROCESS LANDSCAPE; RESPONSE SURFACE ANALYSIS; SALT CONCENTRATION; SCALE-UP;

CHROMATOGRAPHIC ANALYSIS; CHROMATOGRAPHY; DESIGN OF EXPERIMENTS; OPTIMIZATION; PACKED BEDS; SURFACE ANALYSIS;

GENETIC ALGORITHMS;

CYTOCHROME; SODIUM CHLORIDE;

ABSORPTION CHROMATOGRAPHY; ARTICLE; AUTOMATION; CATION EXCHANGE; CHROMATOGRAPHY; COLUMN CHROMATOGRAPHY; EXPERIMENTAL DESIGN; GENETIC ALGORITHM; HIGH THROUGHPUT SCREENING; INTERMETHOD COMPARISON; MEASUREMENT; PH; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; RESPONSE SURFACE METHOD; SALINITY; VOLUMETRY;

EID: 84857969029     PISSN: 1369703X     EISSN: 1873295X     Source Type: Journal    
DOI: 10.1016/j.bej.2012.02.003     Document Type: Article

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