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 | |
Publication status | Published - Dec 1987 |
Fingerprint
Keywords
- Expert system
- Mobile phase optimisation
- Peak homogeneity validation
- Photodiode array detection
- Reversed-phase liquid chromatography
Cite this
}
An expert system for eluent optimisation in liquid chromatography with photodiode array detection. / Bridge, T. P.; Williams, Howard; Seaton, G. G R; Fell, A. F.
In: Chromatographia, Vol. 24, No. 1, 12.1987, p. 691-695.Research output: Contribution to journal › Article
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
VL - 24
SP - 691
EP - 695
JO - Chromatographia
JF - Chromatographia
SN - 0009-5893
IS - 1
ER -