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中国精品科技期刊2020
响应面优化超声波法提取黑豆异黄酮的工艺研究[J]. 食品工业科技, 2013, (05): 259-263. DOI: 10.13386/j.issn1002-0306.2013.05.021
引用本文: 响应面优化超声波法提取黑豆异黄酮的工艺研究[J]. 食品工业科技, 2013, (05): 259-263. DOI: 10.13386/j.issn1002-0306.2013.05.021
Research of ultrasonic wave extraction of isoflavone from black soybean by response surface methodology[J]. Science and Technology of Food Industry, 2013, (05): 259-263. DOI: 10.13386/j.issn1002-0306.2013.05.021
Citation: Research of ultrasonic wave extraction of isoflavone from black soybean by response surface methodology[J]. Science and Technology of Food Industry, 2013, (05): 259-263. DOI: 10.13386/j.issn1002-0306.2013.05.021

响应面优化超声波法提取黑豆异黄酮的工艺研究

Research of ultrasonic wave extraction of isoflavone from black soybean by response surface methodology

  • 摘要: 以产于吉林的黑豆为材料,采用超声波法对黑豆异黄酮的提取工艺进行了研究。在单因素实验结果基础上,选择液料比、提取时间、温度进行三因素三水平的中心组合设计实验,利用Design-expert软件进行响应面分析。超声波法提取黑豆异黄酮的最佳工艺参数为:液料比46∶1(mL/g)、提取时间51min、提取温度52℃,异黄酮提取率实测值为1.883%,预测值为1.891%,理论值与预测值相差甚小,可确定利用响应面优化异黄酮提取的工艺参数可靠,并有一定的应用价值。与振荡提取方法相比,超声波提取法具有高效、省时、节能等优点。同时在最佳提取工艺条件下测定了其他四个产地的黑豆异黄酮含量,结果表明,产于吉林的黑豆异黄酮含量最高,产于山西的黑豆异黄酮含量最低。 

     

    Abstract: The ultrasonic wave extraction process of isoflavone from black soybean which occurred in Jinlin was studied. A central composite experiment of three factors and three levels, concluding liquid-solid ration, extraction time and temperature, was designed based on the results of single factor experiments. And the results were analyzed by response surface methodology with Design-expert. The optimal parameters of ultrasonic wave extraction from black soybean was liquid-solid ration of 46∶1 (mL/g) , extraction time of 51min and temperature of 52℃. Under the optimal conditions, the actual measured value of black soybean content was 1.883%, while the predicted value was 1.891%. The technical parameters of ultrasonic wave extraction process were reliable due to the small difference between the two values. Compared with the shaking extraction method, ultrasonic wave extraction process had some advantages, such as high efficient, time efficient and energy saving. The results showed that the soybean content from Jinlin in the highest and the soybean content from Shanxi was the lowest by measuring the isoflavone content from black soybean which occurred in four different areas under the optimal parameters.

     

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