Murillo-Franco Sarha Lucia, Galvis-Nieto Juan David, Orrego Carlos E
Departamento de Ingeniería Química, Instituto de Biotecnología y Agroindustria, Universidad Nacional de Colombia, 170003, Manizales, Caldas, Colombia.
São Paulo State University (UNESP), Institute of Chemistry, Araraquara, São Paulo, 14800-900, Brazil.
Environ Sci Pollut Res Int. 2024 Jun 12. doi: 10.1007/s11356-024-33540-2.
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.
阿萨伊因其生物活性化合物而闻名,已成为一种功能性食品,但它的果肉产量低,种子是主要废弃物。本研究调查了阿萨伊种子(Euterpe oleracea Mart.)通过酶水解生产低聚甘露糖(MOS)的潜力。利用响应面法(RSM),该研究优化了MOS的提取,同时将甘露糖的产生降至最低并缩短了加工时间,实现了约10 g/L的MOS产量,该值在类似研究的范围内。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值范围为0.6136至0.9031。这些模型用于在减少甘露糖产生的同时强调MOS性能(M2 - M5),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,突出了接近40°C、中等酶负载量和碱性pH的最佳条件,这些条件在加速的加工时间框架内有效地促进了MOS在甘露糖上的生成。实验结果的预测误差在<9%的范围内,模型的有效性是可以接受的。本研究有助于推进对阿萨伊种子酶水解的理解,这是朝着以过程工程为重点的资源可持续利用迈出的一步。