Relative importance of column and adsorption parameters on the productivity in preparative liquid chromatography II: Investigation of separation systems with competitive Langmuir adsorption isotherms.
In this study we investigated how the maximum productivity for commonly used, realistic separation system with a competitive Langmuir adsorption isotherm is affected by changes in column length, packing particle size, mobile phase viscosity, maximum allowed column pressure, column efficiency, sample concentration/solubility, selectivity, monolayer saturation capacity and retention factor of the first eluting compound. The study was performed by generating 1000 random separation systems whose optimal injection volume was determined, i.e., the injection volume that gives the largest achievable productivity. The relative changes in largest achievable productivity when one of the parameters above changes was then studied for each system and the productivity changes for all systems were presented as distributions. We found that it is almost always beneficial to use shorter columns with high pressure drops over the column and that the selectivity should be greater than 2. However, the sample concentration and column efficiency have very limited effect on the maximum productivity. The effect of packing particle size depends on the flow rate limiting factor. If the pumps maximum flow rate is the limiting factor use smaller packing, but if the pressure of the system is the limiting factor use larger packing up to about 40μm.
Department of Engineering and Chemical Sciences, Karlstad University, SE-651 88 Karlstad, Sweden.
Patrik
P
Forssén
Department of Engineering and Chemical Sciences, Karlstad University, SE-651 88 Karlstad, Sweden.
Jörgen
J
Samuelsson
Department of Engineering and Chemical Sciences, Karlstad University, SE-651 88 Karlstad, Sweden. Electronic address: Torgny.Fornstedt@kau.se.
Torgny
T
Fornstedt
D000327:Adsorption; D002853:Chromatography, Liquid / Q000295:instrumentation* / Q000379:methods; D010316:Particle Size; D011312:Pressure
Monte Carlo simulations; Numerical optimization; Preparative chromatography; Process optimization; Productivity