An expert system for eluent optimisation in liquid chromatography with photodiode array detection

T. P. Bridge; Howard Williams; G. G R Seaton; A. F. Fell

doi:10.1007/BF02688570

An expert system for eluent optimisation in liquid chromatography with photodiode array detection

T. P. Bridge, Howard Williams, G. G R Seaton, A. F. Fell

Research output: Contribution to journal › Article › peer-review

Abstract

The problem of eluent optimisation in reversed-phase liquid chromatography is a complex diagnostic situation, amenable to an expert system approach. Such a system has been developed in microProlog, which uses a gradient elution experiment to determine the appropriate initial solvent strength for a given separation, followed by response-surface modelling using an iterative lattice method to determine the mobile phase composition for optimum resolution. Spectral information from a diode array detector is used to track the retention position of each component as the mobile phase composition is varied. Peak homogeneity is assessed by a number of independent modules, the output from which is utilised by the expert system to validate the model constructed by the optimisation procedure. © 1987 Friedr. Vieweg & Sohn Verlagsgesellschaft mbH.

Original language	English
Pages (from-to)	691-695
Number of pages	5
Journal	Chromatographia
Volume	24
Issue number	1
DOIs	https://doi.org/10.1007/BF02688570
Publication status	Published - Dec 1987

Keywords

Expert system
Mobile phase optimisation
Peak homogeneity validation
Photodiode array detection
Reversed-phase liquid chromatography

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10.1007/BF02688570

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title = "An expert system for eluent optimisation in liquid chromatography with photodiode array detection",

abstract = "The problem of eluent optimisation in reversed-phase liquid chromatography is a complex diagnostic situation, amenable to an expert system approach. Such a system has been developed in microProlog, which uses a gradient elution experiment to determine the appropriate initial solvent strength for a given separation, followed by response-surface modelling using an iterative lattice method to determine the mobile phase composition for optimum resolution. Spectral information from a diode array detector is used to track the retention position of each component as the mobile phase composition is varied. Peak homogeneity is assessed by a number of independent modules, the output from which is utilised by the expert system to validate the model constructed by the optimisation procedure. {\textcopyright} 1987 Friedr. Vieweg & Sohn Verlagsgesellschaft mbH.",

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