APPLICATION OF 1H-NMR SPECTA AND MULTIVARIATE ANALYSIS FOR THE AUTHENTICATION OF CURCUMA XANTHORRHIZA FROM ZINGIBER CASSUMUNAR

THERESIA WIJAYANTI; SUGENG RIYANTO; ENDANG LUKITANINGSIH; ABDUL ROHMAN

doi:10.22159/ijap.2019v11i4.32417

Authors

THERESIA WIJAYANTI Departement of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
SUGENG RIYANTO Departement of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
ENDANG LUKITANINGSIH Departement of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
ABDUL ROHMAN Institute of Halal Industry and Systems, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia

DOI:

https://doi.org/10.22159/ijap.2019v11i4.32417

Keywords:

Metabolite fingerprinting, 1H-NMR spectroscopy, C xanthorrhiza, Authentication, Principal component analysis, Partial least square-discriminant analysis

Abstract

Objective: This study was aimed to apply metabolite fingerprinting for the authentication of Curcuma xanthorrhiza adulterated with Zingiber cassumunar using ¹H-NMR spectroscopy and multivariate analysis (chemometrics) methods, namely principal component analysis (PCA) and partial least square–discriminant analysis (PLS-DA).

Methods: The pure dried powder samples of C. xanthorrhiza from different regions, Z. cassumunar, and its binary mixtures of C. xanthorrhiza with various concentrations of Z. cassumunar as adulterants were prepared for ¹H-NMR measurements. The binary mixtures were prepared by mixing C. xanthorrhiza with various concentrations (10%, 25%, 40%, 50%, and 75%) of Z. cassumunar. ¹H-NMR spectra were subjected to multivariate analysis for classification using PCA and PLS-DA.

Results: A diverse group of metabolites could be detected by ¹H-NMR spectroscopy. PCA using the chemical shift in ¹H-NMR spectra of the plant extracts as variables clearly discriminated pure C. xanthorrhiza extracts from different origins and C. xanthorrhiza extract adulterated with Z. cassumunar. PLS-DA employed to enhance the separation obtained from the PCA model resulted in well separation and good classification of pure C. xanthorrhiza from the adulterated ones.

Conclusion: The developed method could be a useful and powerfull tools to assess adulteration practice and to evaluate the authentication of C. xanthorrhiza extracts.

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