Evaluation of Biochemical Content and Antioxidant Activity of Pterocladiella capillacea Algae

Red macroalgae are the basis of many commercially important food, pharmaceutical and other important industries. Research on these species has generally focused on improving seaweed cultivation, developing new methods to extract useful compounds or identifying new applications. In our study, the biochemical contents (total protein, carbohydrate and total phenolic substance) of Pterocladiella capillacea algae collected from the Black Sea were determined. In addition, antioxidant activity of P. capillacea species extracted by Soxhlet and ultrasonic-assisted maceration methods was investigated using 2 different methods (DPPH scavenging and iron reduction). The carbohydrate value of P. capillacea dry biomass was determined as 42% and protein value as 17%. In our study, where the effect of the extraction method on antioxidant activity and total phenolic substance was evaluated, it was determined that the Soxhlet method was more effective in total phenolic substance and iron reduction tests, while the ultrasonic-assisted maceration method was more effective in DPPH scavenging activity. In conclusion, the high carbohydrate content of P. capillacea species collected from the Black Sea (Türkiye) coasts and its potential use as a source of bioactive compounds causing antioxidant activity were highlighted.

Authors

Institutions

Publication Details

Journal
Acta Aquatica Turcica
Published
2025-05-29
DOI
https://doi.org/10.22392/actaquatr.1600679
Primary Topic
Seaweed-derived Bioactive Compounds
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of Biochemical Content and Antioxidant Activity of Pterocladiella capillacea Algae

Ayşe Gül Tekbaba, Alican Bahadır Semerci, Tuğba Ongun Sevi̇ndi̇k, Soner Atik et al.
Acta Aquatica Turcica
Seaweed-derived Bioactive Compounds
article

Evaluation of Biochemical Content and Antioxidant Activity of Pterocladiella capillacea Algae

Ayşe Gül Tekbaba, Alican Bahadır Semerci, Tuğba Ongun Sevi̇ndi̇k, Soner Atik, Yiğit Suyun, Selenay Ertan
article en

Abstract

Red macroalgae are the basis of many commercially important food, pharmaceutical and other important industries. Research on these species has generally focused on improving seaweed cultivation, developing new methods to extract useful compounds or identifying new applications. In our study, the biochemical contents (total protein, carbohydrate and total phenolic substance) of Pterocladiella capillacea algae collected from the Black Sea were determined. In addition, antioxidant activity of P. capillacea species extracted by Soxhlet and ultrasonic-assisted maceration methods was investigated using 2 different methods (DPPH scavenging and iron reduction). The carbohydrate value of P. capillacea dry biomass was determined as 42% and protein value as 17%. In our study, where the effect of the extraction method on antioxidant activity and total phenolic substance was evaluated, it was determined that the Soxhlet method was more effective in total phenolic substance and iron reduction tests, while the ultrasonic-assisted maceration method was more effective in DPPH scavenging activity. In conclusion, the high carbohydrate content of P. capillacea species collected from the Black Sea (Türkiye) coasts and its potential use as a source of bioactive compounds causing antioxidant activity were highlighted.

Acta Aquatica TurcicaVol. 21(2)
Sakarya University (TR), Necmettin Erbakan University (TR)
Openalex Percentile: Top 89%
Seaweed-derived Bioactive Compounds
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.