东北农业大学学报
東北農業大學學報
동북농업대학학보
JOURNAL OF NORTHEAST AGRICULTURAL UNIVERSITY
2014年
7期
124-128
,共5页
加列西·马那甫%德娜·吐热汗%李俊芳
加列西·馬那甫%德娜·吐熱汗%李俊芳
가렬서·마나보%덕나·토열한%리준방
酱油%亚硝酸盐%VC%清除%响应面分析法
醬油%亞硝痠鹽%VC%清除%響應麵分析法
장유%아초산염%VC%청제%향응면분석법
soy sauce%nitrite%VC%clear%response surface methodology
以酱油为原料,在单因素试验基础上,选取VC浓度、反应温度、pH为自变量,以亚硝酸盐清除率为响应值,采用3因素3水平试验设计法,得到二次多项式回归方程预测模型,优化酱油中亚硝酸盐的清除条件。回归预测模型具有高度显著性,方程对试验拟合较好,可对酱油亚硝酸盐清除率进行分析和预测;响应面图表明,交互项对清除率影响不显著,与回归模型交互项P值的分析结果一致。VC清除酱油亚硝酸盐的最佳条件为VC浓度0.48μg·mL-1、反应温度46.08℃、pH 2.38。在最佳条件下,酱油亚硝酸盐清除率可达52.4%,实测值为53.7%,两者较接近,拟合性良好,表明Box-Benhnken中心组合试验设计原理结合响应面法,优化酱油亚硝酸盐清除降解条件可行。
以醬油為原料,在單因素試驗基礎上,選取VC濃度、反應溫度、pH為自變量,以亞硝痠鹽清除率為響應值,採用3因素3水平試驗設計法,得到二次多項式迴歸方程預測模型,優化醬油中亞硝痠鹽的清除條件。迴歸預測模型具有高度顯著性,方程對試驗擬閤較好,可對醬油亞硝痠鹽清除率進行分析和預測;響應麵圖錶明,交互項對清除率影響不顯著,與迴歸模型交互項P值的分析結果一緻。VC清除醬油亞硝痠鹽的最佳條件為VC濃度0.48μg·mL-1、反應溫度46.08℃、pH 2.38。在最佳條件下,醬油亞硝痠鹽清除率可達52.4%,實測值為53.7%,兩者較接近,擬閤性良好,錶明Box-Benhnken中心組閤試驗設計原理結閤響應麵法,優化醬油亞硝痠鹽清除降解條件可行。
이장유위원료,재단인소시험기출상,선취VC농도、반응온도、pH위자변량,이아초산염청제솔위향응치,채용3인소3수평시험설계법,득도이차다항식회귀방정예측모형,우화장유중아초산염적청제조건。회귀예측모형구유고도현저성,방정대시험의합교호,가대장유아초산염청제솔진행분석화예측;향응면도표명,교호항대청제솔영향불현저,여회귀모형교호항P치적분석결과일치。VC청제장유아초산염적최가조건위VC농도0.48μg·mL-1、반응온도46.08℃、pH 2.38。재최가조건하,장유아초산염청제솔가체52.4%,실측치위53.7%,량자교접근,의합성량호,표명Box-Benhnken중심조합시험설계원리결합향응면법,우화장유아초산염청제강해조건가행。
Soy sauce was regard as raw material, on the basis of single factor test, The paper chosed effect of concentration of VC, reaction temperature, pH as dependent variable, and chosed scavenging rate of nitrite as response value. According to the responsed surface Box-Benhnken experimental design principle, the simulation prediction model of two order polynomial equation was observed with three factors and three levels method to optimizing the clear conditions of nitrite in sauce. The regression prediction model was highly significant and the equation fitting to the test preferably, and also could analyze and forecast on nitrite scavenging rate in soy sauce. The response surface plots showed that the VC concentration with reaction temperature, VC concentrationed with pH, pH with reaction temperature interacts was not significant. This also was consistent to the analysis results of the P value of regression model interactiveterm. The optimum conditions for VC clear the nitrite in sauce, VC concentration was 0.48μg·mL-1, reaction temperature was 46.08℃, pH was 2.38. Under the optimal conditions, the nitrite clear rate in sauce could reach to 50.1%, the measured value was 52.4%, which was close to each other and the fitting was good, this test showed that the Box-Behnken center-united experimental design principle with response surface method was feasible to optimize the clear conditions of nitrite in soy sauce.