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首页> 外文期刊>Journal of Food Science and Technology >Optimization of enzymes addition to improve whole wheat bread making quality by response surface methodology and optimization technique
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Optimization of enzymes addition to improve whole wheat bread making quality by response surface methodology and optimization technique

机译:优化酶补充剂以改善全麦面包制质量的响应面方法和优化技术

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摘要

The functional ingredients in whole wheat flour, such as dietary fiber, vitamins, and minerals, have beneficial health effects. However, the excessive amount of dietary fiber in whole wheat flour inhibits gluten network formation and diminishes bread making qualities (BMQ). Adding appropriate amounts of enzymes, alpha-amylase (AM) and hemicellulase (HC), could be a solution to these problems. In this study, response surface methodology (RSM) created a response surface model and Solver (Excel add-in software) calculated the optimal amounts of the enzymes. Adding optimum concentrations of AM and HC drastically improved BMQ (gas retention of dough, specific loaf volume, and bread staling) of whole wheat flour dough and bread compared to whole wheat flour dough and bread without the enzymes. These results showed that combining RSM and Solver was an effective and reasonably easy method that determines optimal concentrations of enzymes to obtain the highest quality bread using whole wheat flour.
机译:全小麦粉的功能性成分,如膳食纤维,维生素和矿物质,具有有益的健康效果。然而,全麦面粉中过量的膳食纤维抑制麸质网络形成,并减少面包质量(BMQ)。添加适量的酶,α-淀粉酶(AM)和半纤维素酶(HC),可以是这些问题的溶液。在本研究中,响应面方法(RSM)创建了响应表面模型和解算器(Excel加载版软件)计算了酶的最佳量。添加了全小麦面粉面团和面包的最佳浓度和HC大大提高了全小麦面粉面团和面包的BMQ(面团,特异性面包体积和面包静置)的BMQ(气体保留)与整个小麦面粉面团和面包没有酶。这些结果表明,组合RSM和求解器是一种有效且相当容易的方法,确定使用全小麦粉获得最高品质面包的最佳酶的最佳浓度。

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