响应面法优化纤维素酶提取柚叶多酚工艺及其抗氧化研究

Optimization of Cellulose-assisted Extraction of Polyphenols from Pomelo Leaves Using Response Surface Methodology and its Antioxidant Activities

采用纤维素酶辅助对柚叶中的多酚进行提取,在单因素实验基础上,通过响应面法对影响柚叶多酚提取的工艺条件进行优化,建立了酶解时间、酶用量、pH、酶解温度四因子与多酚提取率的二次多项式模型,并考察了其抗氧化性能。结果表明,纤维酶辅助提取柚叶多酚的最佳工艺条件为:酶解时间80 min,酶用量200 U、pH5.8、酶解温度49℃。在此条件下柚叶多酚的提取率为35.90 mg·g^(-1),与预测值相比,其相对误差为0.582%,验证了回归方程的有效性,说明响应面模型可以较好地预测柚叶多酚的提取率,该工艺与无酶预处理的超声辅助提取工艺相比,提取率提高了23.20%,柚叶多酚对羟自由基有一定的清除能力,并能与维生素C起协同作用。

Polyphenols were extracted from pomelo leaves by cellulose-assisted extraction. Based on the single -factor experiment, the involving factors was optimized by using response surface analysis and a quadratic polynomial regression equation was established for the yield of polyphenols as function of enzymoly- sis time,enzyme amount,pH and enzymolysis temperature and antioxidant activities were examined. The re-sults showed that the optimal extraction conditions of polyphenols from pomelo leaves were： enzymolysis time 80 min,enzyme amount 200U,pH 5.8,enzymolysis temperature 4 9 ＂ . The yield of total flavonoids could be up to 35.90 mg＊g-1 under the optimal extraction condition, the relative error was 0.582f compared to the predictive value,which indicated the feasible model fitted well with the experimental data. Results showed that the response surface model could be used to predict the extraction yield of polyphenol from pomelo leaves. The extraction yield increased by 23.20f compared to ultrasonic assisted extraction technology with no enzyme pretreatment and it had good free radicals scavenging activity and synergy with vitamin C.