Optimization of sample size and sample volume in preparative liquid chromatography

Journal Article · Mon May 01 04:00:00 EDT 1989 · Anal. Chem.; (United States)

DOI:https://doi.org/10.1021/ac00184a013· OSTI ID:5831770

Katti, A; Guiochon, G

The semi-ideal model of chromatography has been used to calculate the influence of the sample amount of volume of a binary mixture on the production rate achieved in preparative liquid chromatography. The optimum conditions have been found to depend highly on whether one is interested in the production of the first or second eluted component. At low separation factors the sample volume influences the production rate of the first component significantly and low volume, concentration injections should be used. At large separation factors, the sample volume is of less importance for 1/3 and 1/9 mixtures but of more importance for 3/1 and 9/1 mixtures. For the second component, the sample volume influences the production rate to a lesser extent than for the first one; however, low volume, concentrated samples give the higher production rates. The maximum production rate for component 1 occurs at very high sample loading so that the displacement effect concentrates and compresses the band. In contrast, the maximum production rate of component 2 occurs when the front of its band pushes against the rear boundary of the first component, with little band overlap. If one yields exceeding 80% for component 1, it may be necessary to accept production rate losses ranging from 10% to 40%.

• Research Organization: Univ. of Tennessee, Knoxville (USA)
• OSTI ID: 5831770
• Journal Information: Anal. Chem.; (United States), Journal Name: Anal. Chem.; (United States) Vol. 61:9; ISSN ANCHA
• Country of Publication: United States
• Language: English

Related Subjects

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
400105* -- Separation Procedures
CHROMATOGRAPHY
DATA
DISPERSIONS
ELUTRIATION
EXPERIMENTAL DATA
INFORMATION
KINETICS
LIQUID COLUMN CHROMATOGRAPHY
MATHEMATICAL MODELS
MIXTURES
NUMERICAL DATA
OPTIMIZATION
SAMPLE PREPARATION
SAMPLING
SEPARATION PROCESSES
THEORETICAL DATA
VOLUME