Statistical analysis of the influence of extraction parameters on the extraction yields, extract and polysaccharide compositions and prebiotic activities of seaweed extracts from Ascophyllum nodosum
MetadataShow full item record
This item's downloads: 888 (view details)
Brown seaweeds are found in abundance along the Irish coastline and investigations of purification of specific compounds including polysaccharides are still increasing to develop new markets. A preliminary investigation of the differences obtained on the polysaccharide extraction from three brown species (Fucus vesiculosus, Laminaria digitata and Ascophyllum nodosum) had been initiated and the algae A. nodosum had been identified as the most suitable biomass for an industrial point of view. A full factorial experimental design was performed to define the influence of extraction parameters (time, temperature and the volume of extractant per gram of biomass: liquid/biomass ratio) on the main water soluble compounds extractable from industrially processed A. nodosum. Additionally, seasonality was also investigated by applying the experimental design on two seaweed batches harvested at different time points of the year. This statistical approach aimed to figure out the yields and the composition variations of one step aqueous extracts, to optimise the protocol to extract specific compounds (polysaccharides, phenolics¿) and mathematical models were proposed to anticipate the extracted products. Moreover, extraction protocols had been shown to statistically affect the composition and size of the polysaccharide extracted (fucoidans, laminarans and alginates). Finally, the different extracts prepared were tested for their potential prebiotic activity. A preliminary screening of the ability of potentially pathogenic bacterial strains and probiotic strains to grow on seaweed extracts was achieved. Results on bioactivity were then correlated to the protocol used and, by extension to the extract composition (relative proportion of each component of the extract and composition of the polysaccharides). The possibility of scaling up the extraction was investigated in order to anticipate the production of the most promising extract to run a human clinical trial.
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. Please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.
The following license files are associated with this item:
Showing items related by title, author, creator and subject.
Bordea, Georgeta (2013-09-11)In this age of pervasive internet access we have become accustomed to rely on web search for our most basic information needs. But complex queries in knowledge-intensive organisations, as well as in the academic environment, ...
Bordea, Georgeta; Buitelaar, Paul; Polajnar, Tamara (10th International Conference on Terminology and Artificial Intelligence, 2013-09-11)Extracting general or intermediate level terms is a relevant problem that has not received much attention in literature. Current approaches for term extraction rely on contrastive corpora to identify domain-specific terms, ...
Bacivarov, Ioana; Ionita, Mircea C.; Corcoran, Peter M. (IEEE, 2008-01-13)In this paper we describe a system which uses statistical eye modeling to track the eyes and detect eyes blinking. The main challenge was to design an eye model robust to small variations of head pose and to extract the ...