Use of mathematical derivatives (time-domain differentiation) on chromatographic data to enhance the detection and quantification of an unknown 'rider' peak

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Abstract

Two samples of an anticancer prodrug, AQ4N, were submitted for HPLC assay and showed an unidentified impurity that eluted as a 'rider' on the tail of the main peak. Mathematical derivatization of the chromatograms offered several advantages over conventional skimmed integration. A combination of the second derivative amplitude and simple linear regression gave a novel method for estimating the true peak area of the impurity peak. All the calculation steps were carried out using a widely available spreadsheet program. (C) 2003 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)563-570
Number of pages8
JournalJournal of Pharmaceutical and Biomedical Analysis
Volume33
Issue number4
Early online date1 Aug 2003
DOIs
Publication statusPublished - 24 Nov 2003

Keywords

  • tangent integration
  • skimmed integration
  • resolution enhancement
  • baseline prediction
  • liquid-chromatography
  • quantitation
  • errors
  • AQ4N

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