The efficiency of ultrasonic-assisted organosolv in pretreating oil palm empty fruit bunches (EFB) was investigated in this study. The effect of temperature, time, sonication power, ethanol concentration and presence of different types of catalysts were examined. The ultrasonic-assisted organosolv pretreatment was found to be significantly affected by temperature, time and sonication power. These parameters were further subjected to process optimization study using Leverburgh Marquee artificial neural networks (ANNs). An empirical model with good predictive accuracies (R-squared value of 0.9084) was generated. From the morphology study, pretreated EFB showed significant structural disruption through the breakage of hemicellulose and lignin bonds, leading to the enhancement of enzymatic saccharification. A maximum reducing sugars of 356 mg/g biomass (7.12 g/L) was obtained at optimized conditions of 48.2 °C, 30 min and 55% (192.5 W) sonication power. The relatively high yield of reducing sugars associated with lower lignin content compared to raw EFB also suggested the effectiveness of ultrasonic-assisted organosolv in pretreating EFB. Therefore, this synergistic approach could pave the way for a more efficient and cost-effective pretreatment process for the production of various bioproducts and biofuels in the future.

本研究研究了超声波辅助有机溶剂在预处理油棕空果串（EFB）中的效率。检查了温度，时间，超声处理功率，乙醇浓度和不同类型催化剂的存在的影响。发现超声辅助的有机溶剂预处理受温度，时间和超声处理能力的显着影响。这些参数进一步使用Leverburgh Marquee人工神经网络（ANN）进行了工艺优化研究。生成了具有良好预测准确性（R平方值为0.9084）的经验模型。从形态学研究来看，预处理的EFB通过半纤维素和木质素键的断裂显示出明显的结构破坏，从而导致了酶促糖化作用的增强。在48.2°C，30分钟和55％（192.5 W）超声处理功率的最佳条件下，获得的最大还原糖为356 mg / g生物质（7.12 g / L）。与未加工的EFB相比，具有相对较低产率的还原糖和较低的木质素含量也表明了超声辅助有机溶剂在EFB预处理中的有效性。因此，这种协同方法可以为将来生产各种生物产品和生物燃料的更高效，更具成本效益的预处理方法铺平道路。