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2222材料工程  2017, Vol. 45 Issue (6): 67-72    DOI: 10.11868/j.issn.1001-4381.2016.000979
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
基于吸附性能的生物质基多孔活性炭制备方案的响应面法优化
张浩(), 黄新杰, 宗志芳, 刘秀玉
安徽工业大学 建筑工程学院, 安徽 马鞍山 243032
Optimization of Preparation Program for Biomass Based Porous Active Carbon by Response Surface Methodology Based on Adsorptive Property
Hao ZHANG(), Xin-jie HUANG, Zhi-fang ZONG, Xiu-yu LIU
School of Civil Engineering and Architecture, Anhui University of Technology, Maanshan 243032, Anhui, China
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摘要 

以废弃核桃壳作为原料,采用微波加热法制备生物质基多孔活性炭。基于响应面法和数值模拟方法研究活性炭前驱体进行物理活化过程中微波功率、活化时间以及磷酸质量分数对生物质基多孔活性炭吸附性能的影响,对生物质基多孔活性炭制备方案进行优化,并对最优条件下制备的生物质基多孔活性炭进行表征。结果表明,3个因素均对生物质基多孔活性炭的吸附性能有影响,其影响显著性为:微波功率>磷酸质量分数>活化时间。优化的制备条件为:微波加热法对活性炭前驱体进行物理活化过程中的微波功率为746W、活化时间为11.2min以及磷酸质量分数为85.9%。优化生物质基多孔活性炭的碘吸附值为1074.57mg/g,亚甲基蓝吸附值为294.4mL/g,获得率为52.1%。

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张浩
黄新杰
宗志芳
刘秀玉
关键词 生物质多孔活性炭响应面法吸附性能优化制备    
Abstract

With waste walnut shell as raw material, biomass based porous active carbon was made by microwave oven method. The effects of microwave power, activation time and mass fraction of phosphoric acid on adsorptive property of biomass based porous active carbon in the process of physical activation of active carbon precursor were studied by response surface method and numerical simulation method, the preparation plan of biomass based porous active carbon was optimized, and the optimal biomass based porous active carbon property was characterized. The results show that three factors affect the adsorptive property of biomass based porous active carbon, but the effect of microwave power is obviously more significant than that of mass fraction of phosphoric acid, and the effect of mass fraction of phosphoric acid is more significant than that of activation time. The optimized preparation conditions are:microwave power is 746W, activation time is 11.2min and mass fraction of phosphoric acid is 85.9% in the process of physical activation of activated carbon precursor by microwave heating method. For the optimal biomass based porous active carbon, the adsorption value of iodine is 1074.57mg/g, adsorption value of methylene blue is 294.4mL/g and gain rate is 52.1%.

Key wordsbiomass    porous active carbon    response surface methodology    adsorptive property    optimized preparation
收稿日期: 2016-08-16      出版日期: 2017-06-20
中图分类号:  X505  
基金资助:国家自然科学基金青年基金资助项目(51206002);高等学校优秀青年人才基金项目(2010SQRL034)
通讯作者: 张浩     E-mail: fengxu19821018@163.com
作者简介: 张浩(1982-), 男, 博士, 副教授, 从事环保型建筑节能材料研究, 联系地址:安徽省马鞍山市雨山区安徽工业大学(东校区)建筑工程学院(243032), E-mail:fengxu19821018@163.com
引用本文:   
张浩, 黄新杰, 宗志芳, 刘秀玉. 基于吸附性能的生物质基多孔活性炭制备方案的响应面法优化[J]. 材料工程, 2017, 45(6): 67-72.
Hao ZHANG, Xin-jie HUANG, Zhi-fang ZONG, Xiu-yu LIU. Optimization of Preparation Program for Biomass Based Porous Active Carbon by Response Surface Methodology Based on Adsorptive Property. Journal of Materials Engineering, 2017, 45(6): 67-72.
链接本文:  
http://jme.biam.ac.cn/CN/10.11868/j.issn.1001-4381.2016.000979      或      http://jme.biam.ac.cn/CN/Y2017/V45/I6/67
FactorSymbolLevel
LowMiddleHigh
Microwave power/WA300600900
Activation time/minB51015
Mass fraction of phosphoric
acid/%
C507090
Table 1  因素及水平
NoA/WB/minC/%Adsorption value of
iodine/(mg·g-1)
Z1Adsorption value of
methylene blue/(mL·g-1)
Z2Gain rate/
%
Z3H
190010901041.570.9510292.60.983250.40.94922.8834
26005901039.850.9495296.40.996051.70.97362.9190
390015701026.540.9373286.20.961749.40.93032.8293
430010501029.710.9402292.80.983949.10.92472.8488
53001090989.550.9035287.80.967153.11.00002.8706
690010501031.910.9422289.80.973846.20.87012.7861
760010701054.620.9629296.80.997350.50.95102.9113
89005701019.840.9312290.20.975147.50.89452.8008
960015901072.200.9790295.20.991949.70.93602.9069
1030015701006.710.9192280.00.940952.30.98492.8450
1160010701054.620.9629296.80.997350.50.95102.9113
1260015501095.201.0000295.00.991344.60.83992.8312
136005501055.850.9641294.80.990645.70.86062.8153
143005701002.770.9156288.00.967751.90.97742.8607
1560010701054.620.9629297.61.000050.50.95102.9139
Table 2  响应面实验设计及结果
SourcedfSeq SSAdj SSAdj MSFP
Regression9467.901467.90158.0643.620.125
Linear3312.875312.87599.6247.010.067
Square3183.548183.54880.7136.350.088
Interaction34.2664.2661.0850.080.969
Residual error349.49749.49712.973
Total12587.099
S=3.9291R2=0.9807RAaj2=0.9934
Table 3  模型的方差分析
ItemCoefficientStandard errorTP
Constant48.7804.07313.7830.009
A6.1301.5624.1370.034
B-1.1271.562-0.6250.546
C5.0561.5623.5100.071
A2-12.2582.648-5.8440.022
B2-3.6902.648-3.2460.267
C2-8.7652.648-2.4720.058
AB-0.3421.896-0.3580.685
AC0.8011.8960.2990.502
BC-0.5561.896-0.5610.713
Table 4  H的估计回归系数
Fig.1  FTIR测试结果
(a)核桃壳;(b)活性炭前躯体;(c)优化生物质基多孔活性炭
Fig.2  SEM测试结果
(a)活性炭前躯体;(b)优化生物质基多孔活性炭
TypesAdsorption equilibrium
isotherm type
Adsorption
loop type
Pore volume/
(cm3·g-1)
Specific surface
area/(m2·g-1)
Average pore
size/nm
Active carbon precursorⅢ typeNone1.5×1028.547.31
Optimal biomass based porous
active carbon
Ⅳ typeH4 type1.381662.122.75
Table 5  孔结构测试结果
Fig.3  N2吸脱附等温曲线
(a)活性炭前躯体;(b)优化生物质基多孔活性炭
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