Azminah, Azminah and Kristina, Euodia Hana and Salsabillah, Aisyah and Yunita, Oeke (2023) Metabolic Profile Analysis of Red Ginger (Zingiber officinale var. rubrum Rosc.) by GC-MS and HPLC. In: The 4th Bioinformatics and Biodiversity Conference, 04-05 November 2023, MABBI & Universitas Indonesia, Jawa Barat.
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Abstract
This research aims to conduct a metabolic profile analysis of red ginger (Zingiber officinale var. rubrum Rosc.) using Gas Chromatography-Mass Spectrometry (GC-MS) and High-Performance Liquid Chromatography (HPLC). Red ginger is known to contain bioactive compounds that have the potential to provide significant health benefits. Red ginger samples were extracted using methanol as a solvent, and the compounds in the samples were analyzed using GC-MS and HPLC. The analysis results allowed for the identification of various metabolite compounds, including 6-gingerol, 8-gingerol 10-gingerol, 6-shogaol, and other related compounds. Additionally, this research also includes the relative quantification of these compounds in red ginger. The research results showed variations in the metabolic profile of red ginger, including significant differences in the types and amounts of detected compounds. This information can be valuable for a deeper understanding of the health potential and applications of red ginger in the pharmaceutical and nutraceutical fields. Furthermore, this research can serve as a basis for the development of cultivation and processing techniques for red ginger that can enhance the content of specific bioactive compounds. This research has important implications in supporting the development and utilization of red ginger as a source of natural compounds with the potential to benefit health and other industries.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Subjects: | R Medicine > RS Pharmacy and materia medica |
| Divisions: | Faculty of Pharmacy > Department of Pharmacy |
| Depositing User: | Oeke Yunita, S.Si, M.Si. Apt (1161) |
| Date Deposited: | 02 Jan 2025 02:35 |
| Last Modified: | 07 Jan 2025 04:52 |
| URI: | http://repository.ubaya.ac.id/id/eprint/47574 |
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