用辛烯基丁二酸酐对煮熟香蕉淀粉进行改性,提高了淀粉的直链淀粉和支链淀粉的比例。化学计量学方法

Babatunde Olawoye
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引用次数: 0

摘要

由于天然淀粉在食品应用中的缺点,人们不得不采用物理或化学技术对其进行改性。因此,本研究旨在利用化学计量学方法(响应面法)对改性蒸煮香蕉淀粉的直链淀粉-支链淀粉比例进行建模和优化。采用Box-Behnken设计,通过改变不同浓度的琥珀酸辛烯基酸酐浓度(3-5%)、反应时间(30-60 min)和pH(8-10)来完成。结果表明,该模型具有较低的p值(p < 0.001)和较高的决定系数(R2 > 0.97),在预测变性淀粉直链淀粉-支链淀粉比值方面具有显著性和准确性。足够的精度值大于4表明模型可以在设计空间内导航。结果表明,丁二酸酐辛烯基浓度为3.32%,反应时间为32.04 min,底物pH为8时,直链淀粉-支链淀粉比预测值为0.806。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modifying cooking banana starch using octenyl succinic anhydride improves the amylose-amylopectin ratio of starch. A chemometrics approach
The disadvantage posed by native starch during food application had led to starch modification using physical or chemical techniques. This research therefore, aimed at modelling and optimizing the amylose-amylopectin ratio of modified cooking banana starch using chemometrics approach (response surface methodology). This was done by varying different concentration of octenyl succinate anhydride concentration (3-5%), reaction time (30-60 mins) and pH (8-10) using Box-Behnken design. The result obtained revealed the significance and accuracy of the model in predicting the amylose-amylopectin ratio of the modified starch owing to its low p-value (p < 0.001) and high coefficient of determinant (R2 > 0.97). The adequate precision value greater than 4 was an indication that the model can navigate within the design space. Finally, an optimal value of 3.32% octenyl succinate anhydride concentration, reaction time of 32.04 mins and substrate pH of 8 was obtained which resulted in predicted amylose-amylopectin ratio of 0.806.
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