TY  - JOUR
A1  - Burmistrova, Natalia A.
A1  - Soboleva, Polina M.
A1  - Monakhova, Yulia
T1  - Is infrared spectroscopy combined with multivariate analysis a promising tool for heparin authentication?
JF  - Journal of Pharmaceutical and Biomedical Analysis
N2  - 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.
KW  - IR spectroscopy
KW  - Heparin
KW  - Authenticity
KW  - Principal component analysis
KW  - Soft independent modeling of class analogy
Y1  - 2021
SN  - 0731-7085
U6  - http://dx.doi.org/10.1016/j.jpba.2020.113811
VL  - 194
IS  - Article number: 113811
PB  - Elsevier
CY  - Amsterdam
ER  -