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响应面优化姜黄淀粉的酶法提取工艺

池泓霏 傅丽娟 司瑞茹 韦航 黄彪 曾绍校 傅建炜

池泓霏,傅丽娟,司瑞茹,等. 响应面优化姜黄淀粉的酶法提取工艺 [J]. 福建农业学报,2023,38(4):506−514 doi: 10.19303/j.issn.1008-0384.2023.04.015
引用本文: 池泓霏,傅丽娟,司瑞茹,等. 响应面优化姜黄淀粉的酶法提取工艺 [J]. 福建农业学报,2023,38(4):506−514 doi: 10.19303/j.issn.1008-0384.2023.04.015
CHI H F, FU L J, SI R R, et al. Response Surface Optimization on Enzymatic Extraction Process of Turmeric Starch [J]. Fujian Journal of Agricultural Sciences,2023,38(4):506−514 doi: 10.19303/j.issn.1008-0384.2023.04.015
Citation: CHI H F, FU L J, SI R R, et al. Response Surface Optimization on Enzymatic Extraction Process of Turmeric Starch [J]. Fujian Journal of Agricultural Sciences,2023,38(4):506−514 doi: 10.19303/j.issn.1008-0384.2023.04.015

响应面优化姜黄淀粉的酶法提取工艺

doi: 10.19303/j.issn.1008-0384.2023.04.015
基金项目: 福建省财政专项-福建省农业科学院科技创新团队建设项目(CXTD2021011-1);福建省属公益类科研院所基本科研专项 (2021R1022005);福建省农业高质量发展超越“5511”协同创新工程项目(XTCXGC2021020)。
详细信息
    作者简介:

    池泓霏(1998−),女,硕士研究生,研究方向:食品质量与食品安全(E-mail:448282538@qq.com

    通讯作者:

    傅建炜(1974−),男,博士,研究员,研究方向:农产品质量安全(E-mail:fjw9238@163.com)

  • 中图分类号: TS 235.9

Response Surface Optimization on Enzymatic Extraction Process of Turmeric Starch

  • 摘要:   目的  优化姜黄淀粉酶法提取工艺,提高姜黄淀粉提取率。  方法  以新鲜姜黄为原材料,姜黄淀粉提取率为指标,在几种蛋白酶中筛选最佳酶,采用单因素试验进一步确定提取酶解时间、酶解温度、酶解pH和中性蛋白酶添加量等4个因素影响姜黄淀粉提取率的优化范围。在单因素试验基础上,采用Box-Behnken方法,进行4因素3水平响应面优化设计,共进行29组处理,每组处理3次重复,考察酶解时间、酶解温度、酶解pH和中性蛋白酶添加量等4个因素对姜黄淀粉提取率的影响,从而确定姜黄淀粉酶法提取的最佳工艺条件。  结果  姜黄淀粉提取最佳工艺参数为:酶解pH6.83、酶解温度51.45 ℃、酶解时间6.20 h、中性蛋白酶添加量0.13%,姜黄淀粉提取率的理论值为62.00%。考虑实际操作的简便,确定姜黄淀粉提取的最佳工艺参数为:酶解时间6 h,酶解温度52 ℃,酶解pH6.8,中性蛋白酶添加量0.13%,在此条件下实际验证值为60.42%,拟合得到的模型与实际吻合良好。  结论  通过响应面法优化了姜黄淀粉的酶法提取工艺条件,提高了姜黄淀粉提取量,为姜黄淀粉的工业化生产提供了理论依据。
  • 图  1  不同酶对姜黄淀粉提取率的影响

    不同字母表示差异显著(P≤0.05).

    Figure  1.  Effect of enzyme type on rate of turmeric starch extractionstarch

    Different letters indicate significant differences (P≤0.05).

    图  2  酶解温度对姜黄淀粉提取率的影响

    Figure  2.  Effect of enzymatic digestion temperature on the rate of turmeric starch extraction

    图  3  酶解时间对姜黄淀粉提取率的影响

    Figure  3.  Effect of enzymatic digestion time on the rate of turmeric starch extraction

    图  4  中性蛋白酶添加量对姜黄淀粉提取率的影响

    Figure  4.  Effect of neutral protease addition on the rate of turmeric starch extraction

    图  5  酶解pH对姜黄淀粉提取率的影响

    Figure  5.  Effect of enzymatic pH on the rate of turmeric starch extraction

    图  6  两因素间交互作用对姜黄淀粉提取率的影响

    Figure  6.  Effect of interaction between two factors on rate of turmeric starch extraction

    表  1  蛋白酶最适条件

    Table  1.   Optimum conditions for protease digestion

    蛋白酶种类
    Protease types
    最适pH值
    Optimum
    pH
    最适温度
    Optimum
    temperature/
    °C
    蛋白酶添加量
    Protease
    addition/
    (U·mL−1
    中性蛋白酶
    Neutral protease
    6.8 60 300
    碱性蛋白酶
    Alkaline protease
    11.0 50 300
    木瓜蛋白酶
    Papain
    5.7 55 300
    胰蛋白酶
    Trypsin
    8.1 37 300
    胃蛋白酶
    Pepsin
    3.0 37 300
    空白(CK)
    Blank(CK)
    6.8 25
    下载: 导出CSV

    表  2  响应面试验的因素和水平

    Table  2.   Factors and levels of response surface experiments

    水平
    Level
    因素
    Factors
    A:酶解pH
    Enzymatic pH
    B:酶解时间
    Enzymatic
    digestion
    time /h
    C:酶解温度
    Enzymatic
    digestion
    temperature/°C
    D:中性蛋白酶添加量
    Neutral
    protease
    addition/%
    −16.44400.100
    06.86500.125
    17.28600.150
    下载: 导出CSV

    表  3  响应面试验设计与结果

    Table  3.   Response surface test design and results

    序号
    Serial number
    ABCD提取率
    Extraction rate/%
    16.44500.12552.14
    27.26500.1552.67
    36.86400.1548.39
    46.86400.147.65
    56.86600.1556.44
    66.88600.12553.62
    76.86500.12562.18
    86.84500.1551.44
    96.84400.12551.34
    106.86600.148.66
    117.26600.12555.23
    126.88400.12554.69
    136.86500.12563.24
    146.46600.12550.74
    157.26400.12552.46
    167.26500.150.69
    176.86500.12561.57
    186.84600.12552.07
    196.46500.146.78
    206.46500.1553.48
    216.84500.146.64
    226.86500.12560.24
    237.28500.12553.3
    246.48500.12553.19
    256.46400.12550.09
    266.86500.12560.89
    276.88500.1554.18
    287.24500.12552.94
    296.88500.147.84
    下载: 导出CSV

    表  4  回归模型的方差分析

    Table  4.   Analysis of variance for regression models

    方差来源
    Source of variance
    平方和
    Sum of squares
    自由度
    Freedom
    均方
    Mean Square
    F
    F value
    P
    P-value
    显著性
    Significance
    模型 Model 570.86 14 40.78 21.41 <0.0001 **
    A 9.85 1 9.85 5.17 0.0393 *
    B 8.76 1 8.76 4.60 0.0501
    C 12.28 1 12.28 6.45 0.0236 *
    D 66.93 1 66.93 35.14 <0.0001 **
    AB 0.12 1 0.12 0.062 0.8062
    AC 1.12 1 1.12 0.59 0.4552
    AD 5.57 1 5.57 2.92 0.1093
    BC 0.81 1 0.81 0.43 0.5249
    BD 0.59 1 0.59 0.31 0.5857
    CD 12.39 1 12.39 6.50 0.0231 *
    A2 124.22 1 124.22 65.21 <0.0001 **
    B2 126.50 1 126.50 66.41 <0.0001 **
    C2 141.31 1 141.31 74.18 <0.0001 **
    D2 294.00 1 294.00 154.34 <0.0001 **
    残差 Residual 26.67 14 1.90
    失拟项 Lack of fit 21.29 10 2.13 1.58 0.3487
    纯误差 Pure error 5.38 4 1.34
    总和 Cor total 597.53 28
    相关系数 R2 0.9554 校正相关系数 R2 0.9107
    **P<0.01,表示极显著,*P<0.05,表示显著,P>0.05,表示不显著。
    ** indicates extremely significant at P<0.01, * indicates significant at P<0.05, and no sign indicates not significant at P>0.05.
    下载: 导出CSV
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  • 收稿日期:  2023-02-09
  • 修回日期:  2023-03-25
  • 网络出版日期:  2023-05-24
  • 刊出日期:  2023-04-28

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