Key Laboratory of Forest Plant Ecology, Ministry of Education, Northeast Forestry University, Harbin, PR China.
College of Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin, PR China.
Nat Prod Res. 2023 Jul-Aug;37(15):2602-2607. doi: 10.1080/14786419.2022.2053969. Epub 2022 Mar 25.
Response surfaces methodology was established in order to optimize ultrasound-assisted aqueous alkaline protease extraction parameters of nuts oil (PNO) in this short communication. On the oil yield, the impacts of single factors were studied. The solid-liquid ratio, enzyme concentration, enzyme hydrolysis temperature, and enzyme hydrolysis duration were chosen for further optimization of the extraction process utilizing a Box-Behnken design based on statistical significance analysis. Under ideal extraction conditions, a maximum oil recovery of 68.35% was achieved: solid-liquid ratio, enzyme concentration, enzyme hydrolysis temperature, and enzyme hydrolysis duration were 1:5 (g/mL), 3.23 mg/g, 44 °C, and 2.84 h, respectively. Furthermore, physicochemical properties testing revealed that the oil was of higher quality than other approaches. Meanwhile, the DPPH radical-scavenging activities increased with increased content compared to olive oil, with an IC value of 0.082 mg/mL. The method has a lot of potential when it comes to extracting oils from plants.
为了优化超声辅助水相碱性蛋白酶提取坚果油（PNO）的参数，本文采用响应面法。在出油率方面，研究了单因素的影响。选择固液比、酶浓度、酶解温度和酶解时间作为进一步优化提取过程的因素，采用基于统计显著性分析的 Box-Behnken 设计。在理想的提取条件下，可获得最大的油回收量 68.35%：固液比、酶浓度、酶解温度和酶解时间分别为 1:5（g/mL）、3.23mg/g、44°C 和 2.84h。此外，理化性质测试表明，与其他方法相比，该油质量更高。同时，与橄榄油相比，DPPH 自由基清除活性随含量增加而增加，IC 值为 0.082mg/mL。该方法在从植物中提取油脂方面具有很大的潜力。
