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响应面法优化玉米淀粉液化工艺的研究 被引量:6

Optimization of liquefaction technology parameter of corn starch by response surface methodology
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摘要 以玉米淀粉为试验原料,利用耐高温α-淀粉酶为主要液化酶,依据DE值、折光率两项指标变化情况为衡量指标,采用单因素对比分析与中心组合设计相结合的试验方法,构建玉米淀粉液化技术的三元二次回归模型与逆矩阵分析,获得玉米淀粉液化中最佳工艺参数。研究发现:三元二次多项式回归模型Y=13.62+0.27X1+0.80X2+1.52X3-1.84X21-0.84X22-0.29X23+0.032X1X2-1.55X1X3+1.08X2X3具有显著性(P=0.000 3),决定系数为0.965;当液化温度控制在79.21℃,底物浓度18.38%,加酶量19.98 U/g时,DE值与预测DE值为13.0022接近。 The optimistic parameters of liquefaction in the key technology of producing corn starch were studied by ternary quadratic regression model and inverse matrix analysis. It was established by contrast analysis of single {actors and central composite design. The DE value and refractive index were measured as indexes to determine the liquefaction condition of corn starch which was enzymolysised bye-amylase bearing high temperature. The research showed that there was a significant differences in ternary quadratic regression model which was Y = 13.62 + 0.27X1+0.80X2+1.52X3 - 1. 84 X1^2-0.84X2^2 -- 0.29X3^2 + 0.032X1X2- 1.55X1X3 +1.08X2X3 (P=0. 000 3)with coefficient of determination as 0. 965. It was indicated that the true DE value of corn starch liquefaction near to 13 mostly while the anticipant DE value was 13. 002 2 when the parameters as temperature 79. 21 ℃, concentration of starch 18. 38% and dosage of amylase 19.98 U/g.
出处 《食品与机械》 CSCD 北大核心 2009年第4期14-19,共6页 Food and Machinery
基金 吉林省科技厅农业重点项目(编号:20070201)
关键词 玉米淀粉 液化 响应面 回归模型 Corn starch Liquefaction Response surface Regressionmodel
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