Artificial intelligence techniques for peak homogeneity validation in liquid chromatography

T. P. Bridge, Howard Williams, A. F. Fell

Research output: Contribution to journalArticle

Abstract

A problem area in the interpretation of chromatographic data is the determination of the purity of a detected peak. The problem arises in deciding whether a peak is due solely to one component, or is caused by the simultaneous elution of two or more components. Whilst a number of multivariate statistical techniques are available to assess the number of components contributing to a given signal, they may require a significant amount of computer power to provide an answer, and are prone to noise-induced errors. As part of a programme of research aimed at developing an intelligent system for mobile phase optimisation, we have developed a knowledge based systems approach to the problem of peak homogeneity assessment. The expert system applies a number of simple numerical tests to the three-dimensional dataset produced by a photodiode-array detector and assess the results in light of the chromatographic signal. © 1989.

Original languageEnglish
Pages (from-to)59-67
Number of pages9
JournalJournal of Chromatography A
Volume465
Issue number2
Publication statusPublished - 1989

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Liquid chromatography
Knowledge based systems
Intelligent systems
Photodiodes
Expert systems
Artificial intelligence
Detectors

Cite this

Bridge, T. P. ; Williams, Howard ; Fell, A. F. / Artificial intelligence techniques for peak homogeneity validation in liquid chromatography. In: Journal of Chromatography A. 1989 ; Vol. 465, No. 2. pp. 59-67.
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Artificial intelligence techniques for peak homogeneity validation in liquid chromatography. / Bridge, T. P.; Williams, Howard; Fell, A. F.

In: Journal of Chromatography A, Vol. 465, No. 2, 1989, p. 59-67.

Research output: Contribution to journalArticle

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