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食品研究与开发:2020,41(4):69-76
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响应面法优化超声波辅助提取黑小麦花色苷的工艺研究
(1.山西农业大学农学院,山西太谷030801;2.山西农业大学山西功能农业研究院,山西太谷030801)
Optimization of Ultrasonic Assisted Extraction of Anthocyanins from Black Wheat by Response Surface Methodology
(1.College of Agriculture,Shanxi Agricultural University,Taigu 030801,Shanxi,China;2.Shanxi Institute for Functional Agriculture,Shanxi Agricultural University,Taigu 030801,Shanxi,China)
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投稿时间:2019-03-19    
中文摘要: 以黑小麦为研究对象,利用响应面分析法对黑小麦超声波辅助乙醇提取花色苷工艺进行优化。在单因素试验的基础上,以料液比、乙醇浓度、超声时间、超声温度为影响因素,采用Box-Behnken 响应面法,利用四因素三水平正交试验确定最佳提取条件。结果表明,对花色苷提取量影响最大的是料液比,其次是超声温度和超声时间,影响最小的是乙醇浓度。最终确定黑粒小麦的花色苷最佳提取条件是料液比1 ∶48(g/mL),乙醇浓度60%,提取时间58 min,提取温度40 ℃。在此条件下,花色苷提取量最高为28.61 mg/100 g,与模型理论预测值相近,说明该模型回归性良好,试验的拟合程度高,可以用于黑粒小麦花色苷提取率的预测。
Abstract:Using black wheat as the research object,and the extraction process of black wheat was optimized by response surface methodology.Based on the single factor test and the initial extraction conditions of anthocyanin,the material-liquid ratio,ethanol concentration,ultrasonic time and ultrasonic temperature were used as the influencing factors,and the Box-Behnken response surface method was used to design 4 factors and 3 levels to determine the best extraction conditions.The results showed that the most important effect on anthocyanin content was the material-liquid ratio,followed by ultrasonic temperature and ultrasonic time.The least affected was ethanol concentration.The optimal extraction conditions for the anthocyanins in black wheat was 1 ∶48 (g/mL),ethanol concentration was 60%,extraction time was 58 min,extraction temperature was 40 ℃.Under this condition,the highest anthocyanin content was 28.61 mg/100 g,which was similar to the theoretical prediction of the model,indicating that the model has good regression and high degree of fitting.It could be used to predict the extraction rate of anthocyanins in black wheat.
文章编号:202004012     中图分类号:    文献标志码:
基金项目:国家现代农业产业技术体系建设专项经费(CARS-03-01-24);山西省重点研发计划重点项目(201703D211001-02);山西农谷建设科研专项项目(SXNGJSKYZX201703);旱作栽培与作物生态山西省重点实验室(201705D11111161);山西省科技创新团队项目(201605D131041);三晋学者支持计划专项经费资助(K241744001);山西省优秀博士来晋工作奖励资金科研项目(SXYBKY201733)
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