Datasets on the optimization of alginate extraction from sargassum biomass using response surface methodology.

• Main Authors: Akeem Mohammed, Arianne Rivers, David.C. Stuckey, Keeran Ward
• Format: Article
• Language: English
• Published: Elsevier 2020-08-01
• Series: Data in Brief
• Subjects: Pelagic sargassum; Response surface methodology; Sodium alginate; Extraction; Optimization; Box-behnken design
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352340920307319
• ISSN: 2352-3409

This article presents data associated with the extraction of sodium alginate from waste Sargassum seaweed in the Caribbean utilizing an optimization approach using Response Surface Methodology [1]. A Box-Behnken (BBD) Response Surface Methodology using Design Expert 10.0.3 software on the alkaline extraction process was used. Data consists of the effects of 4 process variables (temperature, extraction time, alkali concentration and excess volume of alkali: dried seaweed) on the yield of sodium alginate. The model was validated, and extracts were characterization using High Performance Liquid Chromatography (HPLC), Gel Permeation Chromatography (GPC), Fourier Transform Infrared Spectroscopy (FTIR) and Nuclear Magnetic Resonance (NMR). The data illustrates the applicability of our model in potentially valorizing this waste product into a valuable resource. Furthermore, our methodology can be applied to other macroalgae for efficient extraction of sodium alginate of commercial quality.