摘要
为更好地开发和利用柠檬籽粒中的功能性成分柠檬苦素,本试验研究了离子液体双水相对柠檬苦素提取的最优体系,并通过响应面分析法对最优体系的提取工艺进行了优化。结果表明,1.50 mol·L^-1[TMG][Cl]/1.35 mol·L^-1 NaH2PO4离子液体双水相萃取体系中柠檬苦素的提取量最高,萃取率达97.59%;响应面优化试验得出最优工艺参数:提取时间90.74 min、乙醇浓度59.40%、提取温度74.22℃、液料比18.08∶1条件下,预测柠檬苦素最大提取量为12.126 mg·g^-1FW,校正工艺下柠檬苦素实际提取量为12.381 mg·g^-1 FW,方差分析显示两数值差异不显著,表明有关柠檬苦素提取量的四元二次方程模型预测准确度高。此外,柠檬苦素可有效清除活性氧自由基并抑制不饱和脂肪酸的过氧化,具有较强的抗氧化活性。本研究结果为柠檬资源的充分开发和实际应用提供了理论基础。
In order to develop and utilize the functional compound of limonin in lemon seeds,the optimal system of limonin extraction by ionic liquids aqueous two-phase separation(ILs-ATP)system was studied in the present study;meanwhile,the extraction process of the optimal ILs-ATPS were optimized by response surface methodology.The results exhibited that the highest extraction yields of limonin from lemon seeds were obtained in the ILs-ATPS of 1.5 mol·L^-1[TMG][Cl]/1.35 mol·L^-1 NaH2PO4among all ILs-ATP systems,with the extraction rate of 97.59%.Response surface optimization results showed that the highest yields of limonin was achieved with 59.40%ethanol and liquid to material ratio of 18.08∶1 for extracting of 90.74 min in 74.22℃.The difference between the predicted maximum extraction yield of limonin(12.126 mg·g^-1 FW)and the content in verification test(12.381 mg·g^-1 FW)was not significant following a one-way ANOVA,indicating that the predicted model possessed high predictability and accuracy.In addition,the extracted limonin compound could effectively scavenge reactive oxygen radicals and inhibit the peroxidation of unsaturated fatty acid,contributing to a strong antioxidant activity.These results provided the theoretical foundation for the exploitation and practical application of lemon(Citrus limon)source.
作者
汪开拓
蒋永波
王富敏
张帮奎
马莉
顾欣
WANG Kaituo;JIANG Yongbo;WANG Fumin;ZHANG Bangkui;MA Li;GU Xin(College of Life and Food Engineering,Chongqing Three Gorges University,Chongqing 404000;Chongqing Huida Lemon Technology Group Co.,Ltd,Chongqing 402660)
出处
《核农学报》
CAS
CSCD
北大核心
2020年第11期2507-2518,共12页
Journal of Nuclear Agricultural Sciences
基金
国家自然基金面上项目(31671913)
第五批重庆市高校优秀人才支持计划(2017019)
重庆三峡学院科研创新团队建设计划(201703)
2019年度重庆市大学生创新性实验计划项目(201910643033)。