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罗非鱼片微酸性电解水杀菌工艺响应面法优化研究

于福田 岑剑伟 李来好 杨贤庆 黄卉 郝淑贤 魏涯 赵永强 林织

于福田, 岑剑伟, 李来好, 杨贤庆, 黄卉, 郝淑贤, 魏涯, 赵永强, 林织. 罗非鱼片微酸性电解水杀菌工艺响应面法优化研究[J]. 南方水产科学, 2019, 15(1): 77-84. doi: 10.12131/20180164
引用本文: 于福田, 岑剑伟, 李来好, 杨贤庆, 黄卉, 郝淑贤, 魏涯, 赵永强, 林织. 罗非鱼片微酸性电解水杀菌工艺响应面法优化研究[J]. 南方水产科学, 2019, 15(1): 77-84. doi: 10.12131/20180164
Futian YU, Jianwei CEN, Laihao LI, Xianqing YANG, Hui HANG, Shuxian HAO, Ya WEI, Yongqiang ZHAO, Zhi LIN. Response surface methodology for optimization of sterilization effect on tilapia fillet with slightly acidic electrolyzed water[J]. South China Fisheries Science, 2019, 15(1): 77-84. doi: 10.12131/20180164
Citation: Futian YU, Jianwei CEN, Laihao LI, Xianqing YANG, Hui HANG, Shuxian HAO, Ya WEI, Yongqiang ZHAO, Zhi LIN. Response surface methodology for optimization of sterilization effect on tilapia fillet with slightly acidic electrolyzed water[J]. South China Fisheries Science, 2019, 15(1): 77-84. doi: 10.12131/20180164

罗非鱼片微酸性电解水杀菌工艺响应面法优化研究

doi: 10.12131/20180164
基金项目: 中国水产科学研究院基本科研业务费资助项目 (2016HY-ZD1001);现代农业 (罗非鱼) 产业技术体系建设专项资金 (CARS-46);“扬帆计划”引进创新创业团队专项资助 (2015YT02H109);国家自然科学基金项目(31601533)
详细信息
    作者简介:

    于福田(1992—),男,硕士研究生,从事水产品加工研究。E-mail: yufutian2012@163.com

    通讯作者:

    岑剑伟 (1976 — ) ,男,副研究员,从事水产品加工及质量安全研究。E-mail: genvex@163.com

  • 中图分类号: S 983.09.19

Response surface methodology for optimization of sterilization effect on tilapia fillet with slightly acidic electrolyzed water

  • 摘要: 为研究微酸性电解水对新鲜罗非鱼片的杀菌效果,以杀菌对数值为指标,进行单因素和响应面实验,建立各因素与响应值之间的数学模型,确定最佳杀菌条件。结果表明,最佳杀菌条件为有效氯质量浓度35.00 mg·L–1,浸泡时间22 min,料液质量体积比1∶6,在此处理条件下,杀菌对数值为(0.735±0.001) lg (CFU·g–1),杀菌率为(81.59±0.04)%。
  • 图  1  微酸性电解水有效氯浓度对杀菌效果的影响

    Figure  1.  Effect of slightly acidic electrolyzed water available chlorine concentration on sterilization

    图  2  微酸性电解水浸泡时间对杀菌效果的影响

    Figure  2.  Effect of slightly acidic electrolyzed water dipping time on sterilization

    图  3  罗非鱼片与酸性电解水料液比对杀菌效果的影响

    Figure  3.  Effect of tilapia fillet and slightly acidic electrolyzed water's solid-liquid ratio on sterilization

    图  4  Y=(AB) 的响应面与等高线

    Figure  4.  Response surface and contour plots under Y=(A, B)

    图  5  Y=(AC) 的响应面与等高线

    Figure  5.  Response surface and contour plots under Y=(A, C)

    图  6  Y=(BC) 的响应面与等高线

    Figure  6.  Response surface and contour plots under Y=(B, C)

    表  1  微酸性电解水的理化特性

    Table  1.   Physico-chemical properties of slightly acidic electrolyzed water

    有效氯质量浓度/mg·L–1
    ACC
    pH 氧化还原电位值/mV
    ORP
    12.48±0.47 6.39±0.06 882.93±9
    19.85±1.71 6.16±0.09 898.54±19.03
    31.39±1.48 6.053 3±0.19 900.63±14.3
    35.22±0.98 5.912±0.07 906.43±12.12
    40.270 4±1.36 5.895±0.09 910.23±15.83
    49.24±1.24 5.33±0.08 950.43±13.23
    下载: 导出CSV

    表  2  响应面实验设计因素与水平

    Table  2.   Factors and levels used in response surface experiments

    水平
    level
    因素 factor
    有效氯质量浓度/mg·L–1
    available chlorine concentration
    浸泡时间/min
    dipping time
    料液质量体积比
    solid-liquid ratio
    –1 20 15 1∶4
    0 30 20 1∶6
    1 40 25 1∶8
    下载: 导出CSV

    表  3  Box-Behnken实验方案及结果

    Table  3.   Box-Behnken design and results

    实验号
    test No.
    有效氯浓度
    available chlorine concentration
    浸泡时间
    dipping time
    料液比
    solid-liquid ratio
    杀菌对数值
    lg colony killing value
    1 –1 –1 0 0.52
    2 1 –1 0 0.66
    3 –1 1 0 0.64
    4 1 1 0 0.7
    5 –1 0 –1 0.56
    6 1 0 –1 0.67
    7 –1 0 1 0.6
    8 1 0 1 0.69
    9 0 –1 –1 0.59
    10 0 1 –1 0.65
    11 0 –1 1 0.61
    12 0 1 1 0.68
    13 0 0 0 0.73
    14 0 0 0 0.71
    15 0 0 0 0.69
    16 0 0 0 0.72
    17 0 0 0 0.74
    下载: 导出CSV

    表  4  回归方程方差分析

    Table  4.   Analysis of variances for developed regression equation

    方差来源
    source
    平方和
    SS
    自由度
    df
    均方
    MS
    F P 显著性
    significance
    模型 model 0.061 9 0.006 29.36 <0.000 1 **
    A-有效氯浓度 A-available chlorine concentration 0.02 1 0.02 87.23 <0.000 1 **
    B-浸泡时间 B-dipping time 0.011 1 0.011 45.85 0.000 3 **
    C-料液比 C-solid-liquid ratio 0.001 1 0.001 5 6.6 0.037 1 *
    AB 0.001 1 0.001 6 6.98 0.033 3 *
    AC 0.000 1 1 0.000 1 0.44 0.530 1
    BC 0.000 025 1 0.000 02 0.11 0.750 9
    A2 0.008 1 0.008 6 37.6 0.000 5 **
    B2 0.007 1 0.007 6 33.56 0.000 7 **
    C2 0.007 1 0.007 6 33.56 0.000 7 **
    残差 residual 0.001 7 0.000 2
    失拟项 lack of fit 0.000 1 3 0.000 04 0.11 0.948 2
    误差项 pure error 0.001 4 0.000 3
    总和 cor total 0.062 16
    R2=0.974 1 RAdj=0.941 0
     注:*. P<0.05表示差异显著;**. P<0.01表示差异极显著  Note: *. significant difference (P<0.05); **. very significant difference (P<0.01)
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-07-17
  • 修回日期:  2018-09-10
  • 网络出版日期:  2018-12-05
  • 刊出日期:  2019-02-05

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