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Optimization of corn starch succinylation using response surface methodology

Author:
Wu, Xiuli, Liu, Peng, Ren, Lili, Tong, Jin, Zhou, Jiang
Source:
Die Stärke = 2014 v.66 no.5-6 pp. 508-514
ISSN:
0038-9056
Subject:
Fourier transform infrared spectroscopy, corn starch, regression analysis, response surface methodology, sodium bicarbonate, starch, succinic acid, temperature, water content
Abstract:
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 (xᵢ), i.e. concentration of sodium bicarbonate (x₁), moisture content of reaction system (x₂), reaction temperature (x₃) and time (x₄). A second‐order model equation was obtained and then examined through experiments. The model adequacy was satisfactory as the coefficient of determination (R²) 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.
Agid:
651141