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响应面优化微波辅助Fenton法降解活性艳蓝KN-R

林晓森 薛祥航 董慧敏 方淑兵 丁美琪 赖紫宣 陈毅挺

林晓森, 薛祥航, 董慧敏, 方淑兵, 丁美琪, 赖紫宣, 陈毅挺. 响应面优化微波辅助Fenton法降解活性艳蓝KN-R[J]. 分析测试技术与仪器, 2022, 28(2): 144-152. doi: 10.16495/j.1006-3757.2022.02.006
引用本文: 林晓森, 薛祥航, 董慧敏, 方淑兵, 丁美琪, 赖紫宣, 陈毅挺. 响应面优化微波辅助Fenton法降解活性艳蓝KN-R[J]. 分析测试技术与仪器, 2022, 28(2): 144-152. doi: 10.16495/j.1006-3757.2022.02.006
LIN Xiao-sen, XUE Xiang-hang, DONG Hui-min, FANG Shu-bing, DING Mei-qi, LAI Zi-xuan, CHEN Yi-ting. Degradation of Remazol Brilliant Blue KN-R by Microwave-Assisted Fenton Method Based on Response Surface Optimization[J]. Analysis and Testing Technology and Instruments, 2022, 28(2): 144-152. doi: 10.16495/j.1006-3757.2022.02.006
Citation: LIN Xiao-sen, XUE Xiang-hang, DONG Hui-min, FANG Shu-bing, DING Mei-qi, LAI Zi-xuan, CHEN Yi-ting. Degradation of Remazol Brilliant Blue KN-R by Microwave-Assisted Fenton Method Based on Response Surface Optimization[J]. Analysis and Testing Technology and Instruments, 2022, 28(2): 144-152. doi: 10.16495/j.1006-3757.2022.02.006

响应面优化微波辅助Fenton法降解活性艳蓝KN-R

doi: 10.16495/j.1006-3757.2022.02.006
基金项目: 

国家自然科学基金 22004053

福建省自然科学基金 2022J011114

福建省自然科学基金 2020J01835

福建省自然科学基金 2021J05203

福建省大学生创新训练项目 S202110395027

闽江学院将科研成果转化为研究性实验教学项目 MJUS2019A003

详细信息
    作者简介:

    林晓森(1999-),男,大学本科,专业方向:应用化学,E-mail: 2276925610@qq.com

    通讯作者:

    陈毅挺(1978-),男,教授,博士,从事化学传感器研究,E-mail: fjcyt@foxmail.com

  • 中图分类号: O657.3

Degradation of Remazol Brilliant Blue KN-R by Microwave-Assisted Fenton Method Based on Response Surface Optimization

Funds: 

National Natural Science Foundation of China 22004053

National Science Foundation of Fujian Province 2022J011114

National Science Foundation of Fujian Province 2020J01835

National Science Foundation of Fujian Province 2021J05203

First-Class Undergraduate Courses in Fujian Province(2020), Innovative Training Project for College Students in Fujian Province S202110395027

Transforming Scientific Research Achievements into Research Experiment Teaching Project of Minjiang University MJUS2019A003

  • 摘要: 以活性艳蓝KN-R为降解目标, 通过单因素和响应面法优化了微波辅助Fenton法降解工艺. 探讨了FeSO4·7H2O浓度、30% H2O2投加量、溶液酸度、微波功率、反应与静置时间等因素对脱色率的影响, 并利用响应面法优化了脱色条件. 结果表明, 在FeSO4·7H2O物质的量浓度为0.10 mmol/L、30% H2O2加入量为1.74 mL/L、溶液pH值为3.8、微波功率为222 W、微波时间为6 min、静置时间为40 min时, 活性艳蓝KN-R脱色率可达95.26%.
  • 图  1  活性艳蓝KN-R的分子结构

    Figure  1.  Structure of Remazol Brilliant Blue KN-R

    图  2  Fe2+浓度对活性艳蓝KN-R脱色率的影响

    Figure  2.  Effect of concentration of Fe2+ on decolorization rate of Remazol Brilliant Blue KN-R

    图  3  H2O2加入量对活性艳蓝KN-R脱色率的影响

    Figure  3.  Effect of dosage of H2O2 on decolorization rate of Remazol Brilliant Blue KN-R

    图  4  pH值对活性艳蓝脱色率的影响

    Figure  4.  Effect of pH value on decolorization rate of Remazol Brilliant Blue KN-R

    图  5  微波功率对活性艳蓝KN-R脱色率的影响

    Figure  5.  Effect of microwave power on decolorization rate of Remazol Brilliant Blue KN-R

    图  6  微波时间对活性艳蓝KN-R脱色率的影响

    Figure  6.  Effect of microwave time on decolorization rate of Remazol Brilliant Blue KN-R

    图  7  静置时间对活性艳蓝KN-R脱色率的影响

    Figure  7.  Effect of resting time on decolorization rate of Remazol Brilliant Blue KN-R

    图  8  交互项对脱色率影响的响应面图

    Figure  8.  Response surface diagram of effect of interaction term on removal rate

    表  1  Box-Behnken试验设计因素和水平

    Table  1.   Factors and levels of Box-Behnken experiment design

    编码水平 X1 X2 X3 X4
    Fe2+浓度/(mmol/L) 30% H2O2加入量/(mL/L) 微波功率P /W pH值
    -1 0.05 0.50 160 3.0
    0 0.10 1.25 200 4.0
    1 0.15 2.00 240 5.0
    下载: 导出CSV

    表  2  响应面分析方案及试验结果

    Table  2.   Design and results of response surface analysis

    序号 [Fe2+] /(mmol/L) [30% H2O2] /(mL/L) P /W pH R/% (实测) R/% (预测)
    1 0.05 0.50 200 4.0 73.57 74.04
    2 0.05 1.25 160 4.0 81.83 77.74
    3 0.05 1.25 200 5.0 72.19 76.04
    4 0.05 1.25 200 3.0 70.08 72.80
    5 0.05 1.25 240 4.0 81.11 76.81
    6 0.05 2.00 200 4.0 81.66 83.01
    7 0.10 0.50 160 4.0 76.09 76.90
    8 0.10 0.50 200 3.3 69.69 72.31
    9 0.10 0.50 200 5.0 78.41 74.67
    10 0.10 0.50 240 4.0 72.86 75.80
    11 0.10 1.25 160 5.0 63.08 65.78
    12 0.10 1.25 160 3.0 78.19 75.65
    13 0.10 1.25 200 4.0 87.99 92.52
    14 0.10 1.25 200 4.0 92.75 92.52
    15 0.10 1.25 200 4.0 94.73 92.52
    16 0.10 1.25 200 4.0 93.20 92.52
    17 0.10 1.25 200 4.0 93.92 92.52
    18 0.10 1.25 240 5.0 79.11 79.90
    19 0.10 1.25 240 3.0 85.93 81.48
    20 0.10 2.00 160 4.0 71.09 72.74
    21 0.10 2.00 200 3.0 86.39 87.31
    22 0.10 2.00 200 5.0 78.95 73.50
    23 0.10 2.00 240 4.0 90.02 93.79
    24 0.15 0.50 200 4.0 69.09 65.99
    25 0.15 1.25 160 4.0 55.26 56.73
    26 0.15 1.25 200 5.0 55.12 56.98
    27 0.15 1.25 200 3.0 70.92 71.66
    28 0.15 2.00 200 4.0 73.08 70.85
    29 0.15 1.25 240 4.0 76.35 77.61
    下载: 导出CSV

    表  3  响应面二次回归模型的方差分析

    Table  3.   Analysis of varianceof response surface quadratic regression equation

    来源 自由度 平方和 均方 F P
    模型 14 2 857.79 204.14 12.91 <0.000 1**
    [Fe2+] 1 306.23 306.23 19.36 0.000 6**
    [30% H2O2] 1 143.38 143.38 9.07 0.009 3**
    P 1 298.40 298.40 18.87 0.000 7**
    pH 1 98.27 98.27 6.21 0.025 8*
    [Fe2+]×[30% H2O2] 1 4.20 4.20 0.27 0.614 3
    [Fe2+P 1 118.92 118.92 7.52 0.015 9*
    [Fe2+]×pH 1 80.19 80.19 5.07 0.040 9*
    [30% H2O2P 1 122.77 122.77 7.76 0.014 6*
    [30% H2O2]×pH 1 65.29 65.29 4.13 0.061 6
    P×t 1 17.18 17.18 1.09 0.314 9
    [Fe2+]2 1 1 149.60 1 149.60 72.69 <0.000 1**
    [30% H2O2]2 1 213.17 213.17 13.48 0.002 5**
    P2 1 316.05 316.05 19.98 0.000 5**
    (pH) 2 1 627.77 627.77 39.69 <0.000 1**
    残差 221.41 14 15.82
    失拟项 193.53 10 19.35 2.78 0.168 5
    纯误差 27.88 4 6.97
    总和 3 079.20 28
    注:*表示在0.05水平上显著,**表示在0.01水平上极显著.
    下载: 导出CSV
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    CHEN Chuan-hao, XIE Bo, REN Yuan, WU Chao-fei, WEI Chao-hai. The mechanisms of affecting factors in treating wastewater by Fenton reagent[J]. Chinese Journal of Enviromental Science, 2000, 21(3): 93-96. doi: 10.3321/j.issn:0250-3301.2000.03.023
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    [26] 陈涛, 朱益民, 公维民. Fenton法处理刚果红染料废水的研究[J]. 哈尔滨商业大学学报(自然科学版), 2007, 23(5): 537-539, 543. doi: 10.3969/j.issn.1672-0946.2007.05.008

    CHEN Tao, ZHU Yi-min, GONG Wei-min. Study on reducing Congo red in dying wastewater by Fenton reagend[J]. Journal of Harbin University of Commerce (Natural Sciences Edition), 2007, 23(5): 537-539, 543. doi: 10.3969/j.issn.1672-0946.2007.05.008
    [27] 林建原, 季丽红. 响应面优化银杏叶中黄酮的提取工艺[J]. 中国食品学报, 2013, 13(2): 83-90. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGSP201302024.htm

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出版历程
  • 收稿日期:  2022-02-08
  • 修回日期:  2022-03-07
  • 网络出版日期:  2022-07-07
  • 刊出日期:  2022-06-30

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