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Untargeted NMR metabolomics analysis of Ficus racemosa fruit extracts and UHPLC-MS/MS-molecular networking analysis of the active extract


Citation

Suil, S. Jasrey Max and Zulaikha Zolkeflee, Nur Khaleeda and Ramli, Nurul Shazini and Mohd Faudzi, Siti Munirah and Tham, Chau Ling and Maulidiani, M. and Jamaludin, Fadzureena and Mediani, Ahmed and Abas, Faridah (2025) Untargeted NMR metabolomics analysis of Ficus racemosa fruit extracts and UHPLC-MS/MS-molecular networking analysis of the active extract. LWT, 225. art. no. 117931. pp. 1-15. ISSN 0023-6438

Abstract

This study aimed to investigate the effects of drying methods and varying ethanol concentrations on the metabolite composition and biological activity of F. racemosa fruit extracts. Metabolomic analyses were conducted using 1H NMR spectroscopy, while the most active extract was characterized using UHPLC-MS/MS and feature-based molecular networking (FBMN). A total of 40 and 45 metabolites were tentatively identified through NMR and UHPLC-MS/MS analyses, respectively. The biological activity results indicated that the freeze-dried (FD) sample extracted with 100 % ethanol exhibited the highest activity against 2,2-diphenyl-1-picrylhydrazyl radical (DPPH●), as well as α-amylase and α-glucosidase inhibitory activities, with IC50 values of 21.5, 7.5, and 5.9 μg/mL, respectively. These activities were compared with reference standards, where quercetin exhibited SC50 values of 5.6 μg/mL for DPPH scavenging and 7.3 μg/mL for α-glucosidase inhibition, while acarbose showed an IC50 value of 2.0 μg/mL for α-amylase inhibition. Notably, metabolites such as pheophorbide A, phlorizin, bergenin, caffeic acid, luteoloside, chlorogenic acid, vitexin, naringenin, epicatechin, epilupeol, and betulinic acid were identified as major contributors to the observed antioxidant and enzymatic inhibitory activities. This study lays the groundwork for future research into the development of functional foods from F. racemosa fruit, particularly for managing postprandial hyperglycemia in diabetes.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Food Science and Technology
Faculty of Medicine and Health Science
Faculty of Science
Institute of Bioscience
DOI Number: https://doi.org/10.1016/j.lwt.2025.117931
Publisher: Academic Press
Keywords: 1H NMR; DPPH; Feature-based molecular networking; Ficus racemosa; LC-MS/MS; Metabolomics; α-amylase and α-glucosidase inhibitory activities
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 30 Oct 2025 03:51
Last Modified: 30 Oct 2025 03:51
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.lwt.2025.117931
URI: http://psasir.upm.edu.my/id/eprint/121277
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