Abstract：
Recognized for its bioactive compounds, açaí has become a functional food, but it has a low pulp yield, and the seeds are the main waste. This study investigates the potential of açaí seeds (Euterpe oleracea Mart.) to produce mannooligosaccharides (MOS) through enzymatic hydrolysis. Using response surface methodology (RSM), the research optimizes MOS extraction while minimizing mannose production and reducing processing time, achieving MOS production of about 10 g/L, a value within the range of similar investigations. The RSM quadratic models establish correlations between MOS production (M2-M5) and enzymatic hydrolysis conditions, with R2 values ranging from 0.6136 to 0.9031. These models are used to emphasize MOS performance (M2-M5) while reducing mannose production, which also promotes profitability by reducing time. Experimental validation agrees with model predictions, highlighting optimal conditions near 40 °C, intermediate enzyme loading, and basic pH that effectively promotes MOS generation on mannose within an accelerated processing time frame. With predictions of experimental results within a margin of error of < 9%, the validity of the models was acceptable. This research contributes to the advancement of the understanding of the enzymatic hydrolysis of açaí seeds, which is a step toward the sustainable use of resources with a focus on process engineering aspects.
摘要：
公认的生物活性化合物，açaí已经成为一种功能性食品，但是它的纸浆产量低，种子是主要的废物。这项研究调查了açaí种子（EuterpeoleraceaMart。)通过酶水解生产甘露寡糖(MOS)。使用响应面法(RSM)，该研究优化了MOS提取，同时最大程度地减少了甘露糖的产生并减少了处理时间，实现约10g/L的MOS产量，在类似调查范围内的值。RSM二次模型建立了MOS产量(M2-M5)与酶水解条件之间的相关性，R2值范围从0.6136到0.9031。这些模型用于强调MOS性能（M2-M5），同时减少甘露糖的产生，这也通过减少时间来提高盈利能力。实验验证与模型预测一致，突出40°C附近的最佳条件，中间酶负载，和碱性pH,其在加速的处理时间范围内有效地促进甘露糖上的MOS生成。实验结果的预测误差范围<9%，模型的有效性是可以接受的.这项研究有助于提高对açaí种子的酶促水解的理解，这是朝着可持续利用资源迈出的一步，重点是过程工程方面。
