The use of1h-nmr spectroscopy coupled with chemometrics for authentication of curcuma xanthorrhiza adulterated with curcuma aeruginosa

Windarsih, Anjar and Wijayanti, Theresia and Irnawati, I. and Rohman, Abdul (2021) The use of1h-nmr spectroscopy coupled with chemometrics for authentication of curcuma xanthorrhiza adulterated with curcuma aeruginosa. Key Engineering Materials, 884 KE. 320 – 326. ISSN 10139826

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Abstract

Curcuma xanthorrhiza rhizome is known to have several pharmacological activities and it is potential to be adulterated with other species having lower price such as Curcuma aeruginosa to gain more economic benefit. The objective of this study was to develop1 H-NMR spectroscopy combined with chemometrics of principal component analysis (PCA), partial least square-discriminant analysis (PLS-DA), and orthogonal projections to latent structures-discriminant analysis (OPLS-DA) for authentication of C. xanthorrhiza. PCA could be used for differentiation between pure and adulterated C. xanthorrhiza. Chemometrics of PLS-DA showed clear and better separation between authentic and adulterated samples. The obtained R2X was 0.975, R2Y was 0.993, and Q2(cum) was 0.986. OPLS-DA using two principal components and one orthogonal variabel provided complete separation between authentic and adulterated samples better than using PCA and PLS-DA. The model has a good fit indicated by high value of R2X (0.939) and R2Y (0.932) and a good predictivity indicated by its Q2 value (0.925). It can be concluded that combination of1 H-NMR spectroscopy and chemometrics of PCA, PLS-DA, and OPLS-DA could be used for authentication of C. xanthorrhiza adulterated with C. aeruginosa with OPLS-DA showed the best classification. © 2021 Trans Tech Publications Ltd, Switzerland.

Item Type: Article
Additional Information: Cited by: 2
Uncontrolled Keywords: Discriminant analysis; Nuclear magnetic resonance spectroscopy; Principal component analysis; Spectrum analysis; 1H-NMR; Aeruginosa; Chemometrices; Curcumum xanthorrhizum; H NMR spectroscopy; Orthogonal projection; Partial least squares discriminant analyses (PLSDA); Pharmacological activity; Principal-component analysis; Projection to latent structures; Authentication
Subjects: R Medicine > RS Pharmacy and materia medica
Divisions: Faculty of Pharmacy
Depositing User: Sri JUNANDI
Date Deposited: 05 Oct 2024 11:38
Last Modified: 05 Oct 2024 11:38
URI: https://ir.lib.ugm.ac.id/id/eprint/8789

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