Numerical estimation of multicomponent adsorption isotherms in preparative chromatography: Implications of experimental error

Ling Zhang, John Selker, Peiyong Qu, Ajoy Velayudhan

Research output: Contribution to journalArticlepeer-review

Abstract

Since experimental methods for measuring multicomponent adsorption isotherms are extremely tedious, numerical approaches are an attractive alternative. Here, the variance in isotherm parameters as a function of experimental error in measured effluent concentrations is quantified. The number of experimental replicates needed to obtain isotherm parameters to a desired level of accuracy is calculated explicitly. After the covariance matrix of the parameters has been determined, Monte Carlo methods are found to be rapid and effective. The use of different kinds of experiments, the effect of resolution and loading, and the impact of the number of measured data points are described.

Original languageEnglish (US)
Pages (from-to)13-29
Number of pages17
JournalJournal of Chromatography A
Volume934
Issue number1-2
DOIs
StatePublished - Nov 16 2001
Externally publishedYes

Keywords

  • Adsorption isotherms
  • Competitive interactions
  • Multicomponent adsorption isotherms
  • Non-linear chromatography
  • Parameter estimation
  • Preparative chromatography
  • Statistical estimation of error

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Organic Chemistry

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