Artificial intelligence techniques for peak homogeneity validation in liquid chromatography

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

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


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
Issue number2
Publication statusPublished - 1989


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