Abstract

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.

Highlights

  • 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]

  • Data consists of the effects of 4 process variables on the yield of sodium alginate

  • Our methodology can be applied to other macroalgae for efficient extraction of sodium alginate of commercial quality

Read more

Summary

Tables and Figures

Specific ranges were considered among factors based on initial experiments. Expert 10.0.3 was used to formulate the experimental methodology, and to coordinate optimization through statistical verification. Sargassum biomass was harvested from the Trinidadian eastern coastal villages of Manzanilla and Mayaro, during May 2019. Parameters for Data CollectioTnhe main factors were temperature; 22–80 °C, alkali concentration; 1–10% (w/v). Na2CO3, alkali volume to dried seaweed ratio; 5–15 mL Na2CO3: 1 g dried seaweed and extraction time; 0.5–6 h. Characterization of the raw Sargassum biomass (proximate analysis) and alginate polymers was carried out using Gel Permeation Chromatography (GPC), Fourier Transform Infrared. Spectroscopy (FTIR), and H1 Nuclear Magnetic Resonance (NMR)

Data accessibility
Data description
Materials
Extraction of alginate and experimental design
Multistage extraction
Color analysis
Characterization
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call