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首页> 外文期刊>Catalysis science & technology >Modeling of enzymatic production of isomaltooligosaccharides: a mechanistic approach
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Modeling of enzymatic production of isomaltooligosaccharides: a mechanistic approach

机译：异藻醇的酶促产生的建模：一种机械方法

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An enzymatic process of isomaltooligosaccharide (IMO) production from maltose was investigated using in-house produced alpha-glucosidase from Aspergillus niger PFS 08. A reaction mechanism involving fourteen separate enzymatic steps was formulated for the production of a series of higher sugars (DP >= 3) contributing to the net IMO. The kinetics involving Michaelis-Menten behavior with substrate and product inhibition effects was designed for the formulated reaction mechanism, and later the involved kinetic parameters were estimated using a binary genetic algorithm. The influence of various parameters on model behavior is determined by sensitivity analysis. The results suggested that the maximum reaction velocity (v(m)) related to the hydrolysis of maltose to glucose, panose to maltose, isomaltose to glucose, glucosyl-panose to panose and isomaltotriose to isomaltose was sensitive among hydrolysis reactions, whereas among transglucosylation reactions the v(m) involved in transglucosylation of maltose to maltotriose and panose, isomaltose to isomaltotriose, maltotriose to maltotetraose, panose to glucosyl-panose and glucose to isomaltose was observed to be critical to the model outcome. Amongst the inhibition parameters the competitive product inhibition of glucose and maltose in the hydrolysis reaction of panose to maltose and the competitive product inhibition of glucose in isomaltose hydrolysis were found to be sensitive. To substantiate the formulated model, a validation experiment was carried out at 300 g l(-1) of the initial maltose concentration and the experimental results were in good agreement with the model predictions.
机译：使用内部生产的麦芽糖生产的异藻糖酸（IMO）生产的酶促过程，该过程来自尼日尔Aspergillus Niger PFS 08。 3）为网络IMO做出贡献。设计涉及具有底物和产物抑制效应的迈克利斯 - 市政行为的动力学是为配制的反应机制设计的，后来使用二进制遗传算法估算了所涉及的动力学参数。各种参数对模型行为的影响取决于灵敏度分析。结果表明，与麦芽糖的水解相关的最大反应速度（V（M）），葡萄糖，呈粘液，麦芽糖，异构糖，葡萄糖，葡萄糖 - 葡萄糖基 - 葡萄糖 - 葡萄糖 - 糖基糖和异藻糖，以及异藻糖与异构糖的同藻蛋白，在水液解析反应之间是敏感的。参与麦芽糖和麦芽糖糖的转糖基化的V（M），异藻糖，麦芽糖三糖至麦芽糖浆，泛糖基于葡萄糖基 - 氯糖糖和葡萄糖对等异藻糖的观察到对模型结果至关重要。在抑制参数中，发现竞争产物抑制葡萄糖和麦芽糖在麦芽糖的水解反应中抑制葡萄糖和麦芽糖，并且发现竞争性产物抑制异藻水解中葡萄糖的抑制是敏感的。为了证实公式的模型，在初始麦芽糖浓度的300 g L（-1）下进行了验证实验，实验结果与模型预测非常吻合。

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