Optimizing experimental conditions for minimum production cost in preparative chromatography
Journal Article
·
· AIChE Journal (American Institute of Chemical Engineers); (United States)
- Univ. of Tennessee, Knoxville, TN (United States). Dept. of Chemistry Oak Ridge National Lab., TN (United States). Div. of Analytical Chemistry
Optimum experimental conditions and column design parameters are calculated for most economical separation of binary mixtures by preparative liquid chromatography. The solvent consumption and capital costs are regarded as the two major cost contributions. Calculations were performed by using the numerical solution of the equilibrium-dispersive model of chromatography and a nonlinear simplex algorithm. Solvent consumption depends only on the column efficiency, the retention factor, and the loading factor. The production rate depends on the particle size, the column length, the mobile-phase flow velocity, the retention and the loading factors, and can be optimized with or without recovery yield constraints. A hybrid objective function was constructed to find the tradeoffs between the production rate and the solvent consumption.
- OSTI ID:
- 7246894
- Journal Information:
- AIChE Journal (American Institute of Chemical Engineers); (United States), Journal Name: AIChE Journal (American Institute of Chemical Engineers); (United States) Vol. 40:4; ISSN 0001-1541; ISSN AICEAC
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
400105* -- Separation Procedures
BINARY MIXTURES
CHROMATOGRAPHY
DISPERSIONS
ECONOMICS
EXTRACTION APPARATUSES
EXTRACTION COLUMNS
LIQUID COLUMN CHROMATOGRAPHY
MATHEMATICAL MODELS
MIXTURES
PARAMETRIC ANALYSIS
SEPARATION EQUIPMENT
SEPARATION PROCESSES
400105* -- Separation Procedures
BINARY MIXTURES
CHROMATOGRAPHY
DISPERSIONS
ECONOMICS
EXTRACTION APPARATUSES
EXTRACTION COLUMNS
LIQUID COLUMN CHROMATOGRAPHY
MATHEMATICAL MODELS
MIXTURES
PARAMETRIC ANALYSIS
SEPARATION EQUIPMENT
SEPARATION PROCESSES