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首页> 外文期刊>Korean Journal of Fisheries and Aquatic Sciences >Processing Optimization of Seasoned Laver Pyropia yezoensis Using Seasoning Sauce with Conger Eel Conger myriaster
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Processing Optimization of Seasoned Laver Pyropia yezoensis Using Seasoning Sauce with Conger Eel Conger myriaster

机译:用Conger Eel Conger Myriaster处理经验丰富的薰衣草Pyropia eezoensis的优化

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摘要

This study was conducted to optimize the processing conditions of seasoned laver Pyropia yezoensis with conger eel Conger myriaster seasoning sauce (CES) using response surface methodology (RSM). The RSM program results for bonesoftness showed that the optimum independent variables based on the dependent variables (Y, lipid removal rate; Y2, texture; and Y3, sensory fish odor score) were 431.0% for X] (water amount), 115.6°C for X2 (retort-operated temperature), and 50.1 min for X} (retort-operatedtime). The RSM program results for the CES blend showed that the optimum independent variables (Xp amount of bone-softened conger eel by-products; X2, mixed sauce amount; and X, starch amount) based on the dependent variables (Y, amino-N; Y, Hunter redness; and Y, drying time) were 44.8% for A (pre-treated conger eel by-product), 36.0% for B (mixed sauce), and 19.2% for C (starch). The RSM program results for seasoned laver with CES showed that the optimum independent variables based on the dependent variables (Y, water activity; Y, Hunter yellowness; and Y, overall acceptance) were 5.0%o for Xv (CES amount), 313.8°C for X (roasting temperature), and 6.0 s for X, (roasting time). The seasoned laver with CES prepared under the optimum conditions was superior to commercial seasoned laver in terms of overall acceptance.
机译:本研究进行了利用响应面方法(RSM)优化了康杰·鳗鱼康森梅佐的调味紫菜吡斗yezoensis的加工条件。 Bonesoftness的RSM程序结果表明,基于依赖变量的最佳自变量(Y,脂质去除率; Y2,质地;和Y3,感觉鱼异味评分)为X](水量),115.6°C为431.0%对于X2(蒸馏操作温度)和50.1分钟的X}(蒸馏操作时间)。 CES混合物的RSM程序结果表明,最佳的独立变量(XP量的骨软化渠鳗副产品; X2,混合酱量;和X,淀粉量)基于因变量(Y,amino-n ; Y,亨特发红;和Y,干燥时间)(预处理的Conger EEL副产物)为44.8%,B(混合酱)36.0%,C(淀粉)的19.2%。调味紫菜与CES的RSM计划结果表明,基于从属变量(Y,水活动; Y,Hunter Yellowness;和Y,总体接受)的最佳自变量为XV(CES金额),313.8° C对于X(烘烤温度),6.0秒,X(焙烧时间)。在最佳条件下制备的CES调味的紫菜在整体验收方面优于商业调味的紫菜。

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