Planta Med 2018; 84(18): 1380-1387
DOI: 10.1055/a-0654-5468
Natural Product Chemistry and Analytical Studies
Original Papers
Georg Thieme Verlag KG Stuttgart · New York

Rapid Authentication and Quality Evaluation of Cinnamomum verum Powder Using Near-Infrared Spectroscopy and Multivariate Analyses

Eman Shawky
Department of Pharmacognosy, Faculty of Pharmacy, Alexandria University, Alexandria, Egypt
,
Dina A. Selim
Department of Pharmacognosy, Faculty of Pharmacy, Alexandria University, Alexandria, Egypt
› Author Affiliations
Further Information

Publication History

received 11 May 2018
revised 12 June 2018

accepted 26 June 2018

Publication Date:
01 August 2018 (online)

Abstract

Parallel to the growing global interest in alternative medical therapies, high measures of counterfeit pharmaceuticals enter the global market and, therefore, detection of such marketed products is essential. This article throws an illuminating spot on the adulteration of Cinnamomum verum (Cinnamomum zeylanicum) with Cinnamomum cassia and exhaustively extracted C. verum. A speedy and nondestructive near-infrared method in conjunction with the mathematical tools of chemometrics was used to distinguish between genuine cinnamon and its common adulterants. The principal component analysis and the hierarchical cluster analysis models successfully discriminated between unadulterated and adulterated samples. In the second part of the work, soft independent modeling of class analogy was implemented to construct a chemometric model to authenticate C. verum samples. The constructed model could successfully predict and judge the quality of C. verum powder without any misleading predictions. Finally, partial least squares regression was approached to establish the correlation for adulterated samples regarding their cassia and exhausted cinnamon content. The R2 of calibration and validation were all higher than 0.9, while the root mean square errors were all lower than 0.05, indicating that the established models were successful. Overall, the developed models were shown to have significant potential as time-saving and accurate methods for identification of true cinnamon powder, which can help guarantee both quality aspects of identity and purity of the herbal drug by avoiding its adulteration and could be implemented as a routine screening in its quality control with no need for any sample preparation.

Supporting Information

 
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