College of Biosystems Engineering and Food Science, National-Local Joint Engineering Laboratory of Intelligent Food Technology and Equipment, Zhejiang Key Laboratory for Agro-Food Processing, Zhejiang R & D Center for Food Technology and Equipment, Zhejiang University, Hangzhou 310058, China; Department of Food Science & Technology, Faculty of Agriculture, Bayero University, Kano, PMB 3011 Kano, Nigeria.
College of Biosystems Engineering and Food Science, National-Local Joint Engineering Laboratory of Intelligent Food Technology and Equipment, Zhejiang Key Laboratory for Agro-Food Processing, Zhejiang R & D Center for Food Technology and Equipment, Zhejiang University, Hangzhou 310058, China.
Ultrason Sonochem. 2019 Apr;52:257-267. doi: 10.1016/j.ultsonch.2018.11.023. Epub 2018 Nov 26.
In this study, ultrasound-assisted extraction (UAE) of phenolic compounds in baobab (Adansonia digitata) seeds was optimised using RSM. Based on the single factor experiment results, the effect of four parameters, extraction time (10-20 min), temperature (40-60 °C), % amplitude (30-50) and solvent to solid ratio (20-30, mL/g) on Total Flavonoids Content (TFC) were investigated and optimised using a central composite design (CCD). The predicted optimal conditions with the highest desirably (0.874) were: 20 min, 30% amplitude, 60 °C temperature and 30 mL/g solvent to solid ratio. Under these conditions, the experimental TFC value (1633.84 ± 10.75 mg RE/100 g DW) was highly correlated with the predicted value (1631.77 mg RE/100 g DW). Moreover, a comparative study confirmed that the recovery of TFC, TPC and antioxidant activity (DPPH and FRAP) was significantly higher in UAE than maceration and Heat Assisted Extraction (HAE) extraction methods in addition to a shorter extraction time. HPLC analysis of the UAE optimised sample extract revealed the presence of 10 phenolic compounds with the highest concentration of D-(+) catechin (87.18 ± 14.57 µg/g). This study is the first attempt to optimise UAE parameters for the extraction of phenolic compounds in baobab seeds.
在这项研究中，采用响应面法（RSM）优化超声辅助提取（UAE）巴宝树（Adansonia digitata）种子中酚类化合物的条件。基于单因素实验结果，考察了提取时间（10-20 min）、温度（40-60°C）、%振幅（30-50）和溶剂与固比（20-30，mL/g）等四个参数对总黄酮含量（TFC）的影响，并采用中心复合设计（CCD）进行优化。预测的最佳条件具有最高的适宜性（0.874）为：20 min、30%振幅、60°C温度和 30 mL/g溶剂与固比。在这些条件下，实验 TFC 值（1633.84±10.75 mg RE/100 g DW）与预测值（1631.77 mg RE/100 g DW）高度相关。此外，比较研究证实，与浸渍法和热辅助提取（HAE）相比，UAE 法在较短的提取时间内，TFC、TPC 和抗氧化活性（DPPH 和 FRAP）的回收率显著更高。对优化后的 UAE 样品提取物进行 HPLC 分析，发现 10 种酚类化合物，其中 D-(+)儿茶素的浓度最高（87.18±14.57 µg/g）。本研究首次尝试优化 UAE 参数以提取巴宝树种子中的酚类化合物。
