Abstract：
This research work seeks to evaluate the impact of selected enzyme complexes on the optimised release of phenolics from leaves of Pongamia pinnata. After preliminary solvent extraction, the P. pinnata leaf extract was subjected to enzymatic treatment, using enzyme cocktails such as kemzyme dry-plus, natuzyme, and zympex-014. It was noticed that zympex-014 had a greater extract yield (28.0%) than kemzyme dry-plus (17.0%) and natuzyme (18.0%). Based on the better outcomes, zympex-014-based extract values were subsequently applied to several RSM parameters. The selected model is suggested to be significant by the F value (12.50) and R2 value (0.9669). The applicability of the ANN model was shown by how closely the projected values from the ANN were to the experimental values. In terms of total phenolic contents (18.61 mg GAE/g), total flavonoid contents (12.56 mg CE/g), and DPPH test (IC50) (6.5 g/mL), antioxidant activities also shown significant findings. SEM analysis also revealed that the cell walls were damaged during enzymatic hydrolysis, as opposed to non-hydrolysed material. Using GC-MS, five potent phenolic compounds were identified in P. pinnata extract. According to the findings of this study, the recovery of phenolic bioactives and subsequent increase in the antioxidant capacity of P. pinnata leaf extract were both positively impacted by the optimisation approaches suggested, including the use of zympex-014.
摘要：
这项研究工作旨在评估选定的酶复合物对Pongamiapinnata叶子中酚类物质的优化释放的影响。初步溶剂萃取后，对山核桃叶提取物进行酶处理，使用酶鸡尾酒，如kemzymedry-plus，natuzyme,和zympex-014.注意到zympex-014的提取物产量（28.0％）高于kemzymedry-plus（17.0％）和natuzyme（18.0％）。基于更好的结果，随后将基于zympex-014的提取物值应用于几个RSM参数。所选模型的F值(12.50)和R2值(0.9669)表明是显著的。ANN模型的适用性通过ANN的预测值与实验值的接近程度来显示。就总酚含量(18.61mgGAE/g)而言，总黄酮含量（12.56mgCE/g），和DPPH测试（IC50）（6.5g/mL），抗氧化活性也显示出显著的发现。SEM分析还显示，细胞壁在酶水解过程中被破坏，与非水解材料相反。使用GC-MS，在山葵提取物中鉴定出五种有效的酚类化合物。根据这项研究的结果,酚类生物活性物质的回收和随后的增加，在P.pinnata叶提取物的抗氧化能力都是积极的影响，建议的优化方法，包括使用zympex-014.
