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

Ford, S J and Elliott, M A and Halbert, G W (2003) Use of mathematical derivatives (time-domain differentiation) on chromatographic data to enhance the detection and quantification of an unknown 'rider' peak. Journal of Pharmaceutical and Biomedical Analysis, 33 (4). pp. 563-570. ISSN 1873-264X (https://doi.org/10.1016/S0731-7085(03)00354-6)

[thumbnail of Submission.pdf]
Preview
 PDF. Filename: Submission.pdf
Preprint
Download (41kB)| Preview

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.

ORCID iDs

Ford, S J, Elliott, M A ORCID logoORCID: https://orcid.org/0000-0002-9964-5671 and Halbert, G W;
CORE (COnnecting REpositories)