Optimasi Metode 1H-NMR Profiling pada Rimpang Kunyit (Curcuma domestica)

Caroline Dwiseptianti(1*), Febri Adi Susanto(2), Yekti Asih Purwestri(3), Tri Rini Nuringtyas(4)

(1) Laboratorium Biokimia, Fakultas Biologi, Universitas Gadjah Mada
(2) Laboratorium Biokimia, Fakultas Biologi, Universitas Gadjah Mada
(3) Laboratorium Biokimia, Fakultas Biologi, Universitas Gadjah Mada
(4) Laboratorium Biokimia, Fakultas Biologi, Universitas Gadjah Mada
(*) Corresponding Author

Abstract

The use of medicinal plants is increasing due to the lack of side effects caused and the number of bioactive compounds that cannot be represented by synthetic chemical synthesis compounds. However, the management and use of natural medicines for the main handling of diseases are often hampered by the quality of the ingredients which are low and unstable. The standardized quality control system of OAI (Indonesian Natural Medicine) is the main key to improve clinical assurance and safety of the use of herbal medicines in Indonesia. One of the medicinal plants known to the public is Curcuma longa L. (turmeric). The main active components contained in turmeric are curcumin, demetoksikurkumin, bis-demetoksikurkumin, and ar-turmeron. Information about the quality of turmeric is needed in its use as a raw material for drugs so we need an analytical technique that is able to identify the diversity of metabolite profiles of active compounds. In this research, an optimization method is used to improve efficiency in the extraction of turmeric rhizome metabolites so that the best solvent concentration is known for the analysis of fingerprinting secondary metabolites with 1H-NMR 500 MHz spectroscopy in turmeric rhizomes. The results were analyzed with MNOVA software and chemical shift obtained compared with the reference. From the results obtained a concentration of methanol-d4 (CD3OD) 100% able to extract curcumin better than other solvents. The solvent is able to extract saccharide (sugar) compounds in the form of sucrose, amino acids and fatty acids in the form of methionine, glutamine, acetate, and glycero phospho choline.

Keywords

Curcuma longa, 1H-NMR, Metabolomics, curcumin

Full Text:

PDF

References

Henkel, T., Brunne, R., H., M., & Reichel, F. (1999). Statistical Investigation into the Structural Complementarity of Natural Products and Synthetic Compounds. Angew. Chem., Int. Ed, Vol 38(5): p 643-647.

Kim, E., Kwon, J., Park, S., Park, C., Seo, Y., Shin, H., . . . Hwang, D. R. (2011). Metabolite profiling of Angelica gigas from different geographical origin using 1H NMR and UPLC-MS analyses. J Agric Food Chem., Vol 59: p 8806-8815.

Kim, H., Choi, Y., & Verpoorte, R. (2010). Protocol NMR-based metabolomic analysis of plants. Nature Publishing Group, Vol 5(3): p 536-548.

Prakash, L., Satyan, K., & S.Majeed. (2003). Multifunctional Ingredients. The Novel Face of Natural, Cosmetics and Toiletries, Vol 118(11):p 41-46.

Prasetya, D., & Yuliani, S. (2014). Aktivitas Ekstrak Rimpang Remulawak (Curcuma xanthorrhiza roxb.) pada Radial Arm Maze dan Pasive Avoidance Test Tikus Model Demensia. Pharmaҫiana, 4(2):157-164, Vol 4(2):p 157-164.

Pribadi, E. (2009). Pasokan dan permintaan tanaman obat Indonesia serta arah penelitian dan pengembangannya. Perspektif. 8: 52-64. Perspektif, Vol 8: p 52-64.

Xie, P., & Leung, A. (2009). Understanding the traditional aspect of Chinese medicine in order to achieve meaningful quality control of Chinese materia medica. J Chromatogr A, Vol 1216(11): p 1933-1940.

DOI: 10.23917/bioeksperimen.v5i2.9238

Article Metrics

Abstract view(s): 1029 time(s)
PDF: 1026 time(s)

Refbacks

  • There are currently no refbacks.