Modifying cooking banana starch using octenyl succinic anhydride improves the amylose-amylopectin ratio of starch. A chemometrics approach

Babatunde Olawoye
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Abstract

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.
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
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。
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