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

14 Citations (Scopus)

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

Access to Document

10.1007/BF02688570

Cite this

@article{269200e59e8941638a21119880f99e47,

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.",

keywords = "Expert system, Mobile phase optimisation, Peak homogeneity validation, Photodiode array detection, Reversed-phase liquid chromatography",

author = "Bridge, {T. P.} and Howard Williams and Seaton, {G. G R} and Fell, {A. F.}",

year = "1987",

month = dec,

doi = "10.1007/BF02688570",

language = "English",

volume = "24",

pages = "691--695",

journal = "Chromatographia",

issn = "0009-5893",

publisher = "Springer",

number = "1",

}

TY - JOUR

T1 - An expert system for eluent optimisation in liquid chromatography with photodiode array detection

AU - Bridge, T. P.

AU - Williams, Howard

AU - Seaton, G. G R

AU - Fell, A. F.

PY - 1987/12

Y1 - 1987/12

N2 - 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.

AB - 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.

KW - Expert system

KW - Mobile phase optimisation

KW - Peak homogeneity validation

KW - Photodiode array detection

KW - Reversed-phase liquid chromatography

UR - http://www.scopus.com/inward/record.url?scp=1542619917&partnerID=8YFLogxK

U2 - 10.1007/BF02688570

DO - 10.1007/BF02688570

M3 - Article

SN - 0009-5893

VL - 24

SP - 691

EP - 695

JO - Chromatographia

JF - Chromatographia

IS - 1

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this