Optimization analysis for textural quality of Scomberomorus niphonius surimi based on response surface methodology

Response surface methodology ( RSM ) was applied to optimize the processing conditions for Scomberomorus niphonius surimi. A Box-Behnken design was used for experimental design and analysis of the result to obtain the optimal conditions. Independent variables were contents of corn starch, NaCl, and polyphosphates, respectively. Results showed that the data adequately fitted into a second-order polynomial model. Based on the RSM analysis, the optimal conditions to obtain the highest springiness and adhesiveness and lowest chewiness were corn starch 3.73% , NaCl 2.44% and polyphosphates 0.12%. Under these optimal conditions, experimental values were closely agreed with the predicted value 7.09mm, 12.3g, and 49.11mJ for springiness, adhesiveness and chewiness, respectively.