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中国精品科技期刊2020
云浩程,于繁华,程杜,等. NSGA-II遗传算法结合响应面法优化桦褐孔菌活性成分提取工艺[J]. 食品工业科技,2022,43(17):185−193. doi: 10.13386/j.issn1002-0306.2021110075.
引用本文: 云浩程,于繁华,程杜,等. NSGA-II遗传算法结合响应面法优化桦褐孔菌活性成分提取工艺[J]. 食品工业科技,2022,43(17):185−193. doi: 10.13386/j.issn1002-0306.2021110075.
YUN Haocheng, YU Fanhua, CHENG Du, et al. NSGA-II Genetic Algorithm Combined with Response Surface Methodology to Optimize the Extraction Process of Active Ingredients of Inonotus obliquus[J]. Science and Technology of Food Industry, 2022, 43(17): 185−193. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021110075.
Citation: YUN Haocheng, YU Fanhua, CHENG Du, et al. NSGA-II Genetic Algorithm Combined with Response Surface Methodology to Optimize the Extraction Process of Active Ingredients of Inonotus obliquus[J]. Science and Technology of Food Industry, 2022, 43(17): 185−193. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021110075.

NSGA-II遗传算法结合响应面法优化桦褐孔菌活性成分提取工艺

NSGA-II Genetic Algorithm Combined with Response Surface Methodology to Optimize the Extraction Process of Active Ingredients of Inonotus obliquus

  • 摘要: 本文以研究超声辅助酶法对桦褐孔菌中总三萜、黄酮提取工艺为目的。采用紫外分光光度法为检测方法,以总三萜、黄酮得率为评价指标,考察酶添加量、酶解时间、液料比、乙醇浓度对得率的影响,通过NSGA-II遗传算法结合响应面分析获得最佳提取工艺,最后利用超高效液相色谱串联质谱法(UPLC-MS/MS)对桦褐孔菌中主要化学成分进行分析鉴定。实验结果获得同时提取桦褐孔菌中总三萜、黄酮的最优提取工艺为Pareto前沿面B区域方案,确定酶添加量1.9%、酶解时间45 min、液料比20 mL/g、乙醇浓度64%为最佳提取条件,预测总三萜、黄酮得率理论平均值为2.690%、5.394%,平行验证三次,实际测得总三萜、黄酮平均得率为2.670%±0.05%、5.356%±0.09%,与预测得率平均值的相对误差为0.75%、0.70%,经鉴定桦褐孔菌主要包含白桦脂醇、羊毛甾醇、紫萁酮、槲皮素四种有效成分,证明NSGA-II遗传算法结合响应面优化桦褐孔菌提取工艺的检验指标与预测结果拟合效果良好。

     

    Abstract: This paper aimed to investigate the extraction process of total flavonoids and triterpenes in Inonotus obliquus by ultrasound-assisted enzymatic extraction. The UV spectrophotometric method was used as the detection method, the extraction rate of total triterpenes and flavonoids was used as the evaluation index, the effects of enzyme addition, enzymatic digestion time, liquid to material ratio and ethanol concentration on the extraction rate were investigated, and the best extraction process was obtained by NSGA-II genetic algorithm combined with response surface analysis. Finally, the main chemical components in Inonotus obliquus were analyzed and identified using ultra performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS). The optimal extraction process for simultaneous extraction of total triterpenes and flavonoids from Inonotus obliquus was obtained by the Pareto front surface B region scheme, and the optimal extraction conditions were determined as enzyme addition of 1.9%, enzymatic digestion time of 45 min, liquid to material ratio of 20 mL/g, and ethanol concentration of 64%. The average extraction rates of total triterpenes and flavonoids were 2.670%±0.05% and 5.356%±0.09%, and the relative errors were 0.75% and 0.70% with the predicted average extraction rates. It was identified that Inonotus obliquus contained four active ingredients: Betulin, lanosterol, osmundacetone and quercetin. The above proved that the test indexes of NSGA-II genetic algorithm combined with response surface optimization of Inonotus obliquus fungus extraction process fitted well with the predicted results.

     

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