Is infrared spectroscopy combined with multivariate analysis a promising tool for heparin authentication?

  • The investigation of the possibility to determine various characteristics of powder heparin (n = 115) was carried out with infrared spectroscopy. The evaluation of heparin samples included several parameters such as purity grade, distributing company, animal source as well as heparin species (i.e. Na-heparin, Ca-heparin, and heparinoids). Multivariate analysis using principal component analysis (PCA), soft independent modelling of class analogy (SIMCA), and partial least squares – discriminant analysis (PLS-DA) were applied for the modelling of spectral data. Different pre-processing methods were applied to IR spectral data; multiplicative scatter correction (MSC) was chosen as the most relevant. Obtained results were confirmed by nuclear magnetic resonance (NMR) spectroscopy. Good predictive ability of this approach demonstrates the potential of IR spectroscopy and chemometrics for screening of heparin quality. This approach, however, is designed as a screening tool and is not considered as a replacement for either of the methods required by USP and FDA.

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Metadaten
Author:Natalia A. Burmistrova, Polina M. Soboleva, Yulia MonakhovaORCiD
DOI:https://doi.org/10.1016/j.jpba.2020.113811
ISBN:0731-7085
Parent Title (English):Journal of Pharmaceutical and Biomedical Analysis
Publisher:Elsevier
Place of publication:Amsterdam
Document Type:Article
Language:English
Year of Completion:2021
Date of the Publication (Server):2022/11/07
Tag:Authenticity; Heparin; IR spectroscopy; Principal component analysis; Soft independent modeling of class analogy
Volume:194
Issue:Article number: 113811
Link:https://doi.org/10.1016/j.jpba.2020.113811
Zugriffsart:campus
Institutes:FH Aachen / Fachbereich Chemie und Biotechnologie
collections:Verlag / Elsevier