Hasil cek similarity" Metabolite Fingerprinting Using 1H-NMR Spectroscopy and Chemometrics for Classification of Three Curcuma Species from Different Origins"

Nurani, Laela Hayu and Rohman, Abdul and Windarsih, Anjar and Guntarti, Any and Octa Riswanto, Florentinus Dika and Lukitaningsih, Endang and Ahmad Fadzillah, Nurrulhidayah and Rafi, Mohamad (2021) Hasil cek similarity" Metabolite Fingerprinting Using 1H-NMR Spectroscopy and Chemometrics for Classification of Three Curcuma Species from Different Origins". MDPI Multidisciplinary Digital Publishing Institute, Molecules.

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Abstract

Curcuma longa, Curcuma xanthorrhiza, and Curcuma manga have been widely used for herbal or traditional medicine purposes. It was reported that turmeric plants provided several biological activities such as antioxidant, anti-inflammatory, hepatoprotector, cardioprotector, and anticancer activities. Authentication of the Curcuma species is important to ensure its authenticity and to avoid adulteration practices. Plants from different origins will have different metabolite compositions because metabolites are affected by soil nutrition, climate, temperature, and humidity. 1H-NMR spectroscopy, principal component analysis (PCA), and orthogonal projections to latent structures-discriminant analysis (OPLS-DA) were used for authentication of C. longa, C. xanthorrhiza, and C. manga from seven different origins in Indonesia. From the 1H-NMR analysis it was obtained that 14 metabolites were responsible for generating classification model such as curcumin, demethoxycurcumin, alanine, methionine, threonine, lysine, alpha-glucose, beta-glucose, sucrose, alpha-fructose, beta-fructose, fumaric acid, tyrosine, and formate. Both PCA and OPLS-DA model demonstrated goodness of fit (R2 value more than 0.8) and good predictivity (Q2 value more than 0.45). All OPLS-DA models were validated by assessing the permutation test results with high value of original R2 and Q2. It can be concluded that metabolite fingerprinting using 1H-NMR spectroscopy and chemometrics provide a powerful tool for authentication of herbal and medicinal plants

Item Type: Other
Subjects: R Medicine > RS Pharmacy and materia medica
Divisi / Prodi: Faculty of Pharmacy (Fakultas Farmasi) > S2-Master of Pharmacy (S2-Farmasi)
Depositing User: Laela
Date Deposited: 18 Jun 2022 03:39
Last Modified: 20 Jun 2022 02:31
URI: http://eprints.uad.ac.id/id/eprint/35399

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