基于RSM的优化马鲛鱼鱼糜质地工艺研究
Optimization analysis for textural quality of Scomberomorus niphonius surimi based on response surface methodology
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摘要: 以马鲛鱼为原料,采用响应曲面分析法建立了评价鱼糜质地的二次多项数学模型,验证了数学模型的有效性,并探讨了玉米淀粉、NaCl和多聚磷酸盐对鱼糜质地的作用规律。根据该工艺模型进行了工艺参数的优选,以鱼糜弹性、胶着性和咀嚼性为响应值,得出鱼糜弹性和胶着性最高及咀嚼性最低的条件为玉米淀粉含量3.73%,NaCl含量2.44%和多聚磷酸盐含量0.12%,此时马鲛鱼鱼糜弹性为7.09mm,胶着性为12.3g,咀嚼性为49.11mJ。在这个条件下,使用偏差分析,发现实验值与预期值相符,表明预测模型契合很好。Abstract: 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.