Aligning of single and multiple wavelength chromatographic profiles for chemometric data analysis using correlation optimised warping

Niels-Peter Vest Nielsen, Jens Michael Carstensen, Jørn Smedsgaard

    Research output: Contribution to journalReviewResearchpeer-review

    Abstract

    The use of chemometric data processing is becoming an important part of modern chromatography. Most chemometric analyses are performed on reduced data sets using areas of selected peaks detected in the chromatograms, which means a loss of data and introduces the problem of extracting peak data from the chromatographic profiles. These disadvantages can be overcome by using the entire chromatographic data matrix in chemometric analyses, but it is necessary to align the chromatograms, as small unavoidable differences in experimental conditions causes minor changes and drift. Previous aligning methods either fail to utilise the entire data matrix or rely on peak detection, thus having the same limitations as the commonly used chemometric procedures. The method presented uses the entire chromatographic data matrices and does not require any preprocessing e.g., peak detection. It relies on piecewise linear correlation optimised warping (COW) using two input parameters which can be estimated from the observed peak width. COW is demonstrated on constructed single trace chromatograms and on single and multiple wavelength chromatograms obtained from HPLC diode detection analyses of fungal extractsA copy of the C program containing the COW implementation used in this work may be obtained at http://www.imm.dtu.dk/~jmc/papers/cow/cow.html
    Original languageEnglish
    JournalJournal of Chromatography A
    Volume805
    Issue number1-2
    Pages (from-to)17-35
    ISSN0021-9673
    Publication statusPublished - 1998

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