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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

云浩程 于繁华 程杜 刘震 牛华周 侯万超 李赛男 刘春明 张语迟

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

doi: 10.13386/j.issn1002-0306.2021110075
基金项目: 国家自然科学基金(31870336);吉林省科技发展计划项目:(20200201114JC);长师大自科合字(2020)第011号。
详细信息
    作者简介:

    云浩程(1999−),男,硕士研究生,研究方向:天然药物分析化学,E-mail:993694464@qq.com

    通讯作者:

    李赛男(1985−),女,博士,研究员,研究方向:天然药物分析化学,E-mail: sainan_85@163.com

    刘春明(1964−),女,博士,教授,研究方向:天然药物分析化学,E-mail: ccsf777@163.com

  • 中图分类号: R284.2

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。
  • 图  1  NSGA-II算法流程

    Figure  1.  NSGA-II algorithm flow

    图  2  酶添加量对总三萜、黄酮得率的影响

    Figure  2.  Effect of enzyme addition on the extraction rate of total triterpenes and flavonoids

    注:图柱上不同字母表示组间具有显著性差异(P<0.05),图3~图5同。

    图  3  酶解时间对总三萜、黄酮得率的影响

    Figure  3.  Effect of enzymatic digestion time on the extraction rate of total triterpenes and flavonoids

    图  5  乙醇浓度对总三萜、黄酮得率的影响

    Figure  5.  Effect of ethanol concentration on the extraction rate of total triterpenes and flavonoids

    图  4  液料比对总三萜、黄酮得率的影响

    Figure  4.  Effect of liquid to material ratio on the extraction rate of total triterpenes and flavonoids

    图  6  酶添加量(A)与液料比(C)对总三萜得率影响的响应面图和等高线

    Figure  6.  Response surface plots and contours of the effect of enzyme addition and liquid to material ratio on the extraction rate of total triterpenes

    图  7  酶添加量(A)与乙醇浓度(D)对总黄酮得率影响的响应面图和等高线

    Figure  7.  Response surface plots and contours of the effect of enzyme addition and ethanol concentration on the extraction rate of total flavonoids

    图  8  多目标优化模型Pareto前沿面结果图

    Figure  8.  Pareto front for multiobjective optimization

    图  9  桦褐孔菌提取物取物液相色谱图

    Figure  9.  Chromatograms of extracts of Inonotus obliquus

    表  1  响应面试验因素水平设计

    Table  1.   Response surface test factor level design

    水平A:酶添加量
    (%)
    B:酶解时间
    (min)
    C:液料比
    (mL/g)
    D:乙醇浓度
    (%)
    −11.50301555
    02.00452065
    12.50602575
    下载: 导出CSV

    表  2  响应面设计试验方案及结果

    Table  2.   Response surface design test protocol and results

    试验号ABCDY1(%)Y2(%)​​​​​​​
    101101.992.18
    211001.952.31
    301011.581.13
    4010−11.712.27
    5−11002.282.77
    601−102.081.98
    710101.772.32
    800111.801.71
    9001−11.922.53
    10−10102.483.15
    1110011.480.80
    12100−11.873.18
    1300002.775.44
    1400002.525.70
    1500002.505.10
    1600002.775.20
    1700002.785.42
    18−10011.831.23
    19−100−12.061.98
    2010−102.061.92
    2100−111.551.02
    2200−1−11.912.35
    23−10−102.141.79
    240−1101.991.99
    251−1002.071.86
    260−1011.501.54
    270−10−11.912.07
    28−1−1002.152.68
    290−1−102.161.91
    下载: 导出CSV

    表  3  总三萜响应面多元回归模型方差分析结果

    Table  3.   Results of analysis of variance of total triterpene response surface multiple regression model

    方差来源平方和自由度均方误差FP
    模型3.62140.2623.20< 0.0001**
    A-酶添加量0.2510.2522.670.0003**
    B-酶解时间0.00300810.00300.270.6113
    C-液料比0.000208310.000210.020.8931
    D-乙醇浓度0.2210.2220.140.0005**
    AB0.0210.021.400.2558
    AC0.0110.108.910.0098**
    AD0.0110.010.570.4609
    BC0.001610.00160.140.7103
    BD0.0210.021.760.2058
    CD0.0110.011.290.2745
    A20.3810.3834.46< 0.0001**
    B20.7510.7567.13< 0.0001**
    C20.5110.5145.50< 0.0001**
    D22.5012.50224.80< 0.0001**
    残差0.16140.01
    失拟值0.10100.100.350.9206
    纯误差0.0840.02
    注:*表示显著(P<0.05);**表示极显著(P<0.01);R2=0.9587;RAdj2=0.9173;Pred R2=0.8549;Adeq Precision=15.624。
    下载: 导出CSV

    表  4  总黄酮响应面多元回归模型方差分析结果

    Table  4.   Results of analysis of variance of total flavonoid response surface multiple regression model

    方差来源平方和自由度均方误差FP
    模型53.43143.8232.43< 0.0001**
    A-酶添加量0.1210.121.040.3259
    B-酶解时间0.0310.0290.250.6273
    C-液料比0.7110.716.000.0281*
    D-乙醇浓度4.0314.0334.20< 0.0001**
    AB0.0310.030.280.608
    AC0.2310.231.960.1836
    AD0.6610.665.640.0323*
    BC0.003610.00360.030.8637
    BD0.1010.100.790.389
    CD0.0710.070.550.4696
    A213.92113.92118.30< 0.0001**
    B217.18117.18146.00< 0.0001**
    C216.76116.76142.43< 0.0001**
    D225.63125.63217.72< 0.0001**
    残差1.65140.12
    失拟值1.43100.142.620.1829
    纯误差0.2240.06
    总差55.0828
    注:*表示显著(P<0.05);**表示极显著(P<0.01);R2=0.9701;RAdj2=0.9402;Pred R2=0.8443;Adeq Precision=18.418。
    下载: 导出CSV

    表  5  多目标优化模型B区域Pareto解集表

    Table  5.   Pareto optimal solutions for optimization B region

    No.酶添加量(%)酶解时间(min)液料比(mL/g)乙醇浓度(%)总三萜得率(%)总黄酮得率(%)
    11.93545.04720.42463.82.6885.405
    21.92645.01420.33363.92.6905.398
    31.92445.02920.37564.12.6905.395
    41.91745.04620.34763.92.6915.392
    51.91645.02220.34564.02.6915.390
    61.91045.03520.37364.12.6925.384
    下载: 导出CSV

    表  6  桦褐孔菌提取物中主要成分的液-质联用分析数据

    Table  6.   LC-MS data of the main components in the extract of Inonotus obliquus

    No.化合物保留时间 (min)化学式MS(m/z)MS2(m/z)峰面积(mV•s)相对百分含量(%)
    1白桦脂醇24.20C30H50O2443.12 [M+H]+425.21,411.16,
    407.23,393.15
    2509732.30
    2羊毛甾醇29.15C30H50O427.60 [M+H]+412.81,395.02,315.03816010.50
    3紫萁酮34.30C10H10O3179.07 [M+H]+164.03,161.06,137.062402930.99
    4槲皮素40.68C15H10O7303.02 [M+H]+285.10,257.01,229.0670879.12
    下载: 导出CSV
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  • 收稿日期:  2021-11-08
  • 网络出版日期:  2022-07-18

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