Bioactive properties of fucoidan from Malaysian brown seaweed (Sargassum binderi) with an assessment of its anti-diabetic potential in 3T3-L1 adipocytes

Authors

Institutions

Publication Details

Journal
Journal of Food Science and Technology
Published
2025-08-19
DOI
https://doi.org/10.1007/s13197-025-06410-z
Citations
1
Primary Topic
Seaweed-derived Bioactive Compounds
Type
article
Field-Weighted Citation Impact
2.27

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bioactive properties of fucoidan from Malaysian brown seaweed (Sargassum binderi) with an assessment of its anti-diabetic potential in 3T3-L1 adipocytes

Hafeedza Abdul Rahman, Piyapat Aiemcharoen, Wan Aida Wan Mustapha, Nur Akmal Solehah Din et al.
1 citations
Journal of Food Science and Technology
Seaweed-derived Bioactive Compounds
2.27
article

Bioactive properties of fucoidan from Malaysian brown seaweed (Sargassum binderi) with an assessment of its anti-diabetic potential in 3T3-L1 adipocytes

Hafeedza Abdul Rahman, Piyapat Aiemcharoen, Wan Aida Wan Mustapha, Nur Akmal Solehah Din, Seng Joe Lim, Noorul Syuhada Mohd Razali, Decha Sermwittayawong, Ainaatul Asmaa’ Ishak, Noor-Soffalina Sofian-Seng
article en
1 citations

Abstract

No abstract available for this paper.
Journal of Food Science and TechnologyVol. 63(1)
Prince of Songkla University (TH), Universiti Malaysia Terengganu (MY), National University of Malaysia (MY)
Prince of Songkla University, Universiti Kebangsaan Malaysia, Faculty of Science, Prince of Songkla University
Openalex Percentile: Top 11%
Seaweed-derived Bioactive Compounds
2.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.