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小粒咖啡果皮多酚提取工艺优化及抗氧化活性

王彦兵 匡钰 李国明 刘小琼 苏琳琳 王晓媛 李守岭

王彦兵,匡钰,李国明,等. 小粒咖啡果皮多酚提取工艺优化及抗氧化活性 [J]. 福建农业学报,2020,35(6):682−690 doi: 10.19303/j.issn.1008-0384.2020.06.015
引用本文: 王彦兵,匡钰,李国明,等. 小粒咖啡果皮多酚提取工艺优化及抗氧化活性 [J]. 福建农业学报,2020,35(6):682−690 doi: 10.19303/j.issn.1008-0384.2020.06.015
WANG Y B, KUANG Y, LI G M, et al. Extraction and Antioxidant Activity of Polyphenols from Coffee Bean Peels [J]. Fujian Journal of Agricultural Sciences,2020,35(6):682−690 doi: 10.19303/j.issn.1008-0384.2020.06.015
Citation: WANG Y B, KUANG Y, LI G M, et al. Extraction and Antioxidant Activity of Polyphenols from Coffee Bean Peels [J]. Fujian Journal of Agricultural Sciences,2020,35(6):682−690 doi: 10.19303/j.issn.1008-0384.2020.06.015

小粒咖啡果皮多酚提取工艺优化及抗氧化活性

doi: 10.19303/j.issn.1008-0384.2020.06.015
基金项目: 农业农村部物种品种资源保护(热带作物)项目(15181301354052710);云南省重大科技专项(2018ZG014);云南省科技计划项目(2016DC026);云南省现代农业橡产业技术体系建设专项(2019KJTX008-04);云南省专家基层科研工作站张洪波工作站项目(2020年)
详细信息
    作者简介:

    王彦兵(1989−),男,助理研究员,研究方向:食品安全检测(E-mail:wongyb@126.com

    通讯作者:

    王晓媛(1990−),女,助理研究员,研究方向:中药质量综合评价研究(E-mail:wongxiaoyuan@163.com

    李守岭(1977−),男,副研究员,研究方向:热带作物栽培及育种研究(E-mail:lishouling@yeah.net

  • 中图分类号: TQ 460.9;S 38

Extraction and Antioxidant Activity of Polyphenols from Coffee Bean Peels

  • 摘要:   目的  优化咖啡果皮多酚提取工艺条件,为其功能性开发和综合利用提供技术参考。  方法  采用单因素及响应面试验方法对超声辅助提取咖啡果皮多酚工艺进行优化,比较分析咖啡果皮多酚体外抗氧化活性。  结果  在超声功率200 W条件下,咖啡果皮多酚的最佳提取工艺条件为料液比m(g) v(mL)=1 54,乙醇体积分数56%,提取时间42 min,提取温度69 ℃,多酚提取率为34.68 mg·g−1。表明咖啡果皮多酚具有较好的还原性,对1,1-二苯基-2-三硝基苯肼(DPPH)自由基、羟自由基和超氧阴离子自由基有一定的清除能力,IC50值分别为2.10、314.97、322.02 μg·mL−1,其清除能力分别是L-抗坏血酸的0.99倍、0.52倍、0.12倍。  结论  响应面优化工艺提取的咖啡果皮多酚具有一定抗氧化活性,提取工艺可行性高。该研究可为咖啡加工废弃物的再利用提供参考。
  • 图  1  料液比与咖啡果皮多酚提取率关系

    Figure  1.  Relation between solid-to-liquid ratio and extraction rate of polyphenol extraction from coffee bean peels

    图  2  乙醇体积分数与咖啡果皮多酚提取率关系

    Figure  2.  Relation between ethanol concentration and extraction rate of polyphenol extraction from coffee bean peels

    图  3  提取时间与咖啡果皮多酚提取率的关系

    Figure  3.  Relation between processing time and extraction rate of polyphenol extraction from coffee bean peels

    图  4  提取温度与咖啡果皮多酚提取率的关系

    Figure  4.  Relation between processing temperatures and extraction rate of polyphenol extraction from coffee bean peels

    图  5  提取因素对提取率的响应面分析

    Figure  5.  Response surface analysis on processing conditions vs. extraction rate

    图  6  DPPH自由基的清除效果

    Figure  6.  Scavenging effect on DPPH free radicals by polyphenols extracted from coffee bean peels

    图  7  羟自由基的清除效果

    Figure  7.  Scavenging effect on hydroxyl free radicals by polyphenol extracted from coffee bean peels

    图  8  超氧阴离子自由基的清除效果

    Figure  8.  Scavenging effect on superoxide anion free radicals by polyphenol extracted from coffee bean peels

    图  9  总还原力测定

    Figure  9.  Determination of reducing power

    表  1  响应面试验依据因素及水平

    Table  1.   Factors and levels of response surface experiment

    因素 Factor水平 Level
    −101
    A:料液比 Solid-liquid ratio/(gmL) 140 150 160
    B:乙醇体积分数 Ethanol concentration/% 50 60 70
    C:提取时间 Ultrasonic time/ min 30 40 50
    D:提取温度 Ultrasonic temperature/℃ 60 70 80
    下载: 导出CSV

    表  2  响应面方案及结果

    Table  2.   Results of response surface experiment

    试验号 No.因素 Factor提取率
    Extraction volume /(mg·g−1
    ABCD
    1 1 −1 0 0 32.94
    2 0 0 1 −1 29.34
    3 0 1 0 −1 30.38
    4 1 0 0 −1 32.25
    5 1 0 0 1 31.83
    6 0 −1 0 1 30.62
    7 −1 0 0 −1 30.38
    8 0 0 0 0 34.48
    9 0 0 0 0 35.03
    10 1 0 −1 0 29.31
    11 0 0 1 1 28.85
    12 0 0 0 0 34.62
    13 0 1 0 1 29.95
    14 1 0 1 0 31.76
    15 −1 −1 0 0 30.21
    16 0 0 −1 −1 27.69
    17 −1 0 −1 0 28.15
    18 0 0 0 0 33.56
    19 0 0 0 0 34.10
    20 −1 0 0 1 30.62
    21 −1 0 1 0 30.03
    22 0 −1 0 −1 32.25
    23 0 −1 1 0 32.76
    24 0 1 1 0 30.03
    25 −1 1 0 0 31.03
    26 0 1 −1 0 27.85
    27 1 1 0 0 29.63
    28 0 0 −1 1 27.42
    29 0 −1 −1 0 29.65
    下载: 导出CSV

    表  3  方差分析结果

    Table  3.   Analysis on regression model

    方差来源 Source of variance平方和 Sum of squares自由度 df均方 Mean squareFF valuePP value显著性 Significance
    模型 Model 121.27 14 8.66 15.47 <0.0001 **
    A 4.44 1 4.44 7.93 0.0137 *
    B 7.62 1 7.62 13.60 0.0024 **
    C 13.44 1 13.44 24.00 0.0002 **
    D 0.75 1 0.75 1.34 0.2665
    AB 4.26 1 4.26 7.61 0.0154 *
    AC 0.08 1 0.08 0.15 0.7090
    AD 0.11 1 0.11 0.19 0.6660
    BC 0.22 1 0.22 0.39 0.5443
    BD 0.36 1 0.36 0.64 0.4361
    CD 0.01 1 0.01 0.02 0.8852
    A2 12.12 1 12.12 21.64 0.0004 **
    B2 14.05 1 14.05 25.09 0.0002 **
    C2 69.76 1 69.76 124.57 <0.0001 **
    D2 31.02 1 31.02 55.40 <0.0001 **
    残差 Residual 7.84 14 0.56
    失拟度 Lack of fit 6.60 10 0.66 2.13 0.2424
    绝对误差 Pure error 1.24 4 0.31
    总离差 Cor total 129.11 28
    注:*,差异显著(P<0.05);**,差异极显著(P<0.01)。
    Note: *, significant difference(P<0.05); **, extremely significant difference(P<0.01).
    下载: 导出CSV
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  • 收稿日期:  2019-10-28
  • 修回日期:  2019-12-26
  • 刊出日期:  2020-08-10

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