GC-MS based metabolite profiling and antibacterial activity of torch ginger (Etlingera elatior) flowers extract

Wahyu, Haryati Maser and Agus, Purwoko and Nancy, Dewi Yuliana and Linda, Masniary Lubis and Alfi, Khatib (2022) GC-MS based metabolite profiling and antibacterial activity of torch ginger (Etlingera elatior) flowers extract. Indonesian Journal of Chemistry (Indones. J. Chem), 22 (4): 11. pp. 1014-1024. ISSN 1411-9420 e_ISSN: 2460-1578

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Abstract

Torch ginger (Etlingera elatior) flowers are well known for their antibacterial effects against Staphylococcus aureus, however, the active compounds are still unknown. The purpose of this study was to conduct GC-MS-based metabolite profiling of torch ginger flower and identify compounds correlated with its S. aureus antibacterial activity using Orthogonal Projection to Latent Structure (OPLS). Using the well diffusion method, the antibacterial activity of ethanol extract, hexane, chloroform, and ethyl acetate fractions with a concentration of 80 mg/mL were investigated. The ethyl acetate fraction inhibited S. aureus growth the most (diameter of inhibition zone, DIZ 13.00–13.20 mm), while the hexane (DIZ 9.55–10.05 mm) and chloroform (DIZ 10.00–11.00 mm) fractions had moderate inhibitory activity, but the ethanol extract had no antibacterial effect. Using OPLS analysis, the GC-MS metabolite profile of all extracts and fractions was linked with the profile of antibacterial activity. This analysis revealed that Dodecanoic acid, 5-Tetradecene, and n-Hexadecanoic acid were identified as the compounds that were significantly connected with antibacterial activity.

Item Type: Article
Uncontrolled Keywords: Antibacterial activity, Etlingera elatior, GC-MS, Metabolite profiling, Staphylococcus aureus
Subjects: Medicine & Biology > Biochemistry
Chemistry
Chemistry > Industrial Chemistry & Chemical Process Engineering
Depositing User: Djaenudin djae Mohamad
Date Deposited: 11 May 2023 07:25
Last Modified: 11 May 2023 07:25
URI: https://karya.brin.go.id/id/eprint/16465

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