Optimization of extrusion-assisted extraction parameters and characterization of alginate from brown algae ().

J Food Sci Technol

4Department of Food Science and Technology, Faculty of Agricultural Technology, Brawijaya University, Malang, 65145 Indonesia.

Published: August 2019

The aim of this research is to investigate the effects of brown algae to solution ratio, feed rate, and pH on the multiple responses of alginate extracted using twin screw extruder. Box-Behnken design was used to find out the optimum extrusion-assisted extraction parameters based on the responses of residence time distribution (RTD), yield, intrinsic viscosity, and molecular weight. The result showed that alginate extrusion-assisted extraction parameters affected on the movement of algae in the screw channel and physicochemical properties of alginate. The alginate extrusion-assisted extraction parameters have quadratic effect on the responses of RTD, yield, intrinsic viscosity and molecular weight. The predicted values at the optimum extrusion parameters as independent variables are the use of brown algae to solution ratio (3.11), feed rate (2.95 rpm), and pH 10.3. The M/G ratio of alginate based on fractions analysis is 0.29 (M/G ratio < 1), indicating that alginate contains guluronate fraction of 77.10% and manuronate fraction of 22.90%. Intrinsic viscosity of alginate in aqueous solution was determined and shown shear-thinning pseudoplastic.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6675862PMC
http://dx.doi.org/10.1007/s13197-019-03829-zDOI Listing

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