Optimization of corn starch succinylation using response surface methodology.

摘要

Succinylation of corn starch was carried out through a dry process by using response surface methodology with four variables and five levels. A multi-linear regression method was chosen to fit the relationship between the response variable (y, the degree of substitution (DS)) and the four regressors (x _i ), i.e. concentration of sodium bicarbonate (x ₁), moisture content of reaction system (x ₂), reaction temperature (x ₃) and time (x ₄). A second-order model equation was obtained and then examined through experiments. The model adequacy was satisfactory as the coefficient of determination (R 2) was 0.9103. The predicted optimal value for the DS was 0.150. The actual experimental results showed that DS and reaction efficiency (RE) were 0.151 and 93.25%, respectively. FTIR, XRD, and SEM were used to characterize the obtained succinate starches. copyright 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.