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中国精品科技期刊2020
董红敏, 牛小勇, 沈丽雯, 李路, 秦文. 响应面设计优化川明参蛋白提取工艺[J]. 华体会体育, 2015, (02): 276-281. DOI: 10.13386/j.issn1002-0306.2015.02.051
引用本文: 董红敏, 牛小勇, 沈丽雯, 李路, 秦文. 响应面设计优化川明参蛋白提取工艺[J]. 华体会体育, 2015, (02): 276-281. DOI: 10.13386/j.issn1002-0306.2015.02.051
DONG Hong-min, NIU Xiao-yong, SHEN Li-wen, LI Lu, QIN Wen. Optimization of protein extraction from Chuanminshen violaceum based on response surface methodology[J]. Science and Technology of Food Industry, 2015, (02): 276-281. DOI: 10.13386/j.issn1002-0306.2015.02.051
Citation: DONG Hong-min, NIU Xiao-yong, SHEN Li-wen, LI Lu, QIN Wen. Optimization of protein extraction from Chuanminshen violaceum based on response surface methodology[J]. Science and Technology of Food Industry, 2015, (02): 276-281. DOI: 10.13386/j.issn1002-0306.2015.02.051

响应面设计优化川明参蛋白提取工艺

Optimization of protein extraction from Chuanminshen violaceum based on response surface methodology

  • 摘要: 以川明参乙醇提取后的残渣为原料,通过单因素和响应面实验对超声波辅助提取川明参蛋白工艺条件进行优化。结果表明,各因子对川明参蛋白提取率影响的先后次序为:超声功率>液料比>超声温度>超声时间,最佳提取工艺条件为:p H12.5的碱溶液、液料比24∶1m L/g、超声功率185W、超声温度34℃、超声时间31min。该工艺条件下,川明参蛋白的平均提取率为54.62%。所得川明参蛋白提取回归模型高度显著(R2=0.9484),拟合性好,可用于预测川明参蛋白提取率。 

     

    Abstract: The extraction condition of protein from Chuanminshen violaceum by ultrasonic extraction was optimized by single factor experiments and response surface methodology. The results showed that all investigated parameters had a notable effect on the extraction yield of protein and could be ranked in decreasing order of importance in their effects as follows : extraction temperature, solid- liquid ratio, ultrasonic action time and ultrasonic power. The optimum conditions for extracting protein from Chuanminshen violaceum were determined as follows:p H12.5, liquid-solid ratio (m L/g) 24∶1, ultrasonic power 185 W, extraction temperature 34℃, ultrasonic action time 31 min. Under this condition, the average rate of extraction of polysaccharides was 54.62%. The established regression model describing the extraction yield of protein as a function of four extraction parameters was highly significant (R2=0.9484) . The predictive and experimental results were found to be in good agreement. Thus, the model was applicable for the prediction of protein yield.

     

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