Retention factor profiling and antibacterial potential of ethanolic extracts from selected Sargassum species: A short note

Thin Layer Chromatography (TLC) analysis of ethanolic extracts from Sargassum polycystum, S. cristaefolium, and S. wightii was performed using various solvent systems to determine retention factor (RF) values and zones of inhibition (ZOI) against Pseudomonas aeruginosa. Among the extracts, S. polycystum exhibited the highest antibacterial activity with a maximum ZOI of 22 mm at an RF value of 0.65, using a benzene: ethanol (3:7) solvent system. For S. cristaefolium, a maximum ZOI of 6 mm was observed at an RF value of 0.8 in ethanol: water (4:6). Likewise, S. wightii achieved a ZOI of 10 mm at an RF value of 0.69 with ethyl acetate: ethanol (3:7). Comparative solvent analysis showed that benzene: ethanol combinations consistently enhanced antibacterial activity for S. polycystum, with ZOIs ranging from 5 mm to 22 mm. In contrast, ethanol: water mixtures yielded modest inhibition for S. cristaefolium (6 mm) and S. wightii (5 mm). TLC revealed distinct RF values for the various solvent systems, with the benzene: hexane combination showing no inhibition for any species. These findings highlight S. polycystum as a promising candidate for bioactive compound isolation and underscore the influence of solvent systems on extract potency.

Authors

Publication Details

Journal
International Journal of Advanced Biochemistry Research
Published
2025-02-01
DOI
https://doi.org/10.33545/26174693.2025.v9.i2sa.3681
Primary Topic
Microbial Metabolites in Food Biotechnology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Retention factor profiling and antibacterial potential of ethanolic extracts from selected Sargassum species: A short note

Deepika Kurre, Mangesh M Bhosale, N. P. Kashyap, Jaiswar Rahul Ramsare
1 links
International Journal of Advanced Biochemistry Research
Microbial Metabolites in Food Biotechnology
article

Retention factor profiling and antibacterial potential of ethanolic extracts from selected Sargassum species: A short note

Deepika Kurre, Mangesh M Bhosale, N. P. Kashyap, Jaiswar Rahul Ramsare
article en

Abstract

Thin Layer Chromatography (TLC) analysis of ethanolic extracts from Sargassum polycystum, S. cristaefolium, and S. wightii was performed using various solvent systems to determine retention factor (RF) values and zones of inhibition (ZOI) against Pseudomonas aeruginosa. Among the extracts, S. polycystum exhibited the highest antibacterial activity with a maximum ZOI of 22 mm at an RF value of 0.65, using a benzene: ethanol (3:7) solvent system. For S. cristaefolium, a maximum ZOI of 6 mm was observed at an RF value of 0.8 in ethanol: water (4:6). Likewise, S. wightii achieved a ZOI of 10 mm at an RF value of 0.69 with ethyl acetate: ethanol (3:7). Comparative solvent analysis showed that benzene: ethanol combinations consistently enhanced antibacterial activity for S. polycystum, with ZOIs ranging from 5 mm to 22 mm. In contrast, ethanol: water mixtures yielded modest inhibition for S. cristaefolium (6 mm) and S. wightii (5 mm). TLC revealed distinct RF values for the various solvent systems, with the benzene: hexane combination showing no inhibition for any species. These findings highlight S. polycystum as a promising candidate for bioactive compound isolation and underscore the influence of solvent systems on extract potency.

International Journal of Advanced Biochemistry ResearchVol. 9(2S)
Zero hunger
Openalex Percentile: Top 97%
Microbial Metabolites in Food Biotechnology
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.