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Microparticles zerumbone from Zingiber zerumbet rhizome in chitosan modified oleic acid

  • Natalia Marbun , Fardhan Roiza , Muhammad Furqon Muttaqin , Kirana Ruby , Gita Paglusia and Irmanida Batubara ORCID logo EMAIL logo
Published/Copyright: March 4, 2025

Abstract

Zerumbone is a marker compound of Zingiber zerumbet that has antioxidant and anticancer properties. It exhibits low solubility in water, necessitating methods to enhance it has solubility, such as the creation of microparticles with chitosan in oleic acid. Therefore, this research aimed to isolate zerumbone from Z. zerumbet rhizome and determine the formation of its microparticles in chitosan in oleic acid. Zerumbone isolated by recrystallization the Z. zerumbet essential oil. Six different formulations of microparticles with chitosan (2.5–3.0 %), TPP as cross-linker, oleic acid as surfactant, and zerumbone. The formation of microparticles was analyzed using FTIR. The results showed a zerumbone yield of 0.11 % decibels. The particle size of the best microparticle was 5.516 μm, absorptive efficiency is 47 %, and amide linkages between the chitosan and oleic acid were confirmed based on FTIR. The microparticles have LC50 value lower than native zerumbone. The zerumbone microparticles in chitosan-modified oleic acid have great potential for zerumbone delivery.


Corresponding author: Irmanida Batubara, Department of Chemistry, IPB University, Jl Tanjung, No. 1, Dramaga, Bogor, West Java, 16680, Indonesia, e-mail:
Article note: A collection of invited papers based on presentations at the 9th International Conference for Young Chemists (ICYC 2024) held on 9–11 Oct 2024 in Penang, Malaysia.

Acknowledgments

Department of Chemistry, IPB University Tropical Biopharmaca Research Center, IPB University.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: Natalia has conceptualized and designed the research, performed the majority of the data analysis, conducted experiments, collected data, interpretation of the results, and wrote the initial draft of the manuscript. Fardhan, Kirana, Gita, and Muttaqin have conceptualized and designed the research, conducted experiments, collected data, and contributed to the interpretation of the results Irmanida Batubara has supervised the overall research, conceptualized and design the research, provided expert guidance throughout the project, and contributed to interpreting the results and final manuscript revision.

  4. Use of Large Language Models, AI and Machine Learning Tools: Not applicable.

  5. Conflict of interests: Not applicable.

  6. Research funding: Not applicable.

  7. Data availability: Not applicable.

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Received: 2024-11-16
Accepted: 2025-02-13
Published Online: 2025-03-04
Published in Print: 2025-06-26

© 2025 IUPAC & De Gruyter

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