The brown seaweed Cystoseira schiffneri as a source of sodium alginate: Chemical and structural characterization, and antioxidant activities

Autor: Suming Li, Mourad Jridi, Moncef Nasri, Rim Nasri, Nacim Zouari, Marwa Hamdi, Abdelkarim Benslima, Didier Cot, Sabrine Sellimi
Přispěvatelé: École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax (ENIS), Université de Jendouba (UJ), Institut Européen des membranes (IEM), Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut de Chimie du CNRS (INC)-Université de Montpellier (UM), Université de Gabès
Rok vydání: 2021
Předmět:
Zdroj: Food Bioscience
Food Bioscience, Elsevier, 2021, 40, pp.100873. ⟨10.1016/j.fbio.2020.100873⟩
ISSN: 2212-4292
2212-4306
Popis: International audience; Sodium alginates were extracted from brown seaweeds (Cystoseira schiffneri) collected from a Tunisian island (Kerkennah, Sfax) in different seasons (December, April, July and September). The structural features and antioxidant properties of C. schiffneri sodium alginates (CSSA) were characterized. Micro-elementary analysis showed the absence of nitrogen and sulfur in alginate fractions. All alginate isolates were high in uronic acids (47.4-66.4%) and ash (24.3-39.4%). ATR-FTIR, NMR and circular dichroism data showed that all CSSA were of the polyguluronate-type. Weight-average molecular weight determined using high performance size exclusion chromatography showed variations ranging from 4.49 to 1230 kDa. Thermogravimetric analysis suggested that CSSA were stable until 400 • C except for that collected in September, which was observed to only be stable until 200 • C. Antioxidant activity of CSSA from different seasons was measured using DPPH• radical-scavenging, reducing power and Fe 2+ chelating ability assays. Antioxidant potential of CSSA varied significantly with respect to the season and the main factor controlling antioxidant properties was the molecular mass.
Databáze: OpenAIRE