Chemistry and Industry of Forest Products ›› 2022, Vol. 42 ›› Issue (5): 37-44.doi: 10.3969/j.issn.0253-2417.2022.05.006
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Lu LUO1, Lingcong LUO1, Jianping DENG1, Yalan ZHOU1, Mizi FAN1,2, Weigang ZHAO1,*()
Received:
2021-07-07
Online:
2022-10-28
Published:
2022-11-02
Contact:
Weigang ZHAO
E-mail:weigang-zhao@fafu.edu.cn
CLC Number:
Lu LUO, Lingcong LUO, Jianping DENG, Yalan ZHOU, Mizi FAN, Weigang ZHAO. Preparation, Characteristics and Electrochemical Performance of Chinese Fir Bark-based Activated Carbon[J]. Chemistry and Industry of Forest Products, 2022, 42(5): 37-44.
Table 1
The pore structure parameters of the activated carbon from fir bark"
样品 sample | 活化温度/℃ activation temp. | 碱炭比值 alkali carbon ratio | 比表面积/ (m2·g-1) SBET | 总孔容/ (cm3·g-1) total pore volume | 微孔孔容/ (cm3·g-1) micropore volume | 中孔孔容/ (cm3·g-1) mesopore volume | 微孔比例 micropore ratio | 平均孔径/nm average pore size |
FB2-500 | 500 | 2 | 507 | 0.31 | 0.21 | 0.10 | 0.68 | 0.88 |
FB3-500 | 500 | 3 | 698 | 0.33 | 0.27 | 0.06 | 0.82 | 0.60 |
FB4-500 | 500 | 4 | 724 | 0.33 | 0.29 | 0.04 | 0.88 | 0.59 |
FB2-600 | 600 | 2 | 846 | 0.42 | 0.34 | 0.08 | 0.81 | 0.62 |
FB3-600 | 600 | 3 | 969 | 0.43 | 0.37 | 0.06 | 0.86 | 0.59 |
FB4-600 | 600 | 4 | 974 | 0.43 | 0.38 | 0.05 | 0.89 | 0.62 |
FB2-700 | 700 | 2 | 1 522 | 0.84 | 0.56 | 0.28 | 0.67 | 1.12 |
FB3-700 | 700 | 3 | 1 377 | 0.74 | 0.51 | 0.23 | 0.69 | 0.99 |
FB4-700 | 700 | 4 | 1 242 | 0.57 | 0.47 | 0.10 | 0.83 | 0.80 |
Table 3
CCD experimental design and results"
序号 No. | X1 活化温度/℃ activation temp. | X2 碱炭比值(g∶g) alkali carbon ratio | 比电容/(F·g-1) specific capacitance |
1 | 600 | 2 | 150 |
2 | 600 | 3 | 182 |
3 | 600 | 3 | 181 |
4 | 500 | 4 | 154 |
5 | 600 | 3 | 182 |
6 | 700 | 2 | 161 |
7 | 700 | 3 | 159 |
8 | 700 | 4 | 134 |
9 | 500 | 2 | 125 |
10 | 600 | 4 | 163 |
11 | 500 | 3 | 160 |
12 | 600 | 3 | 181 |
13 | 600 | 3 | 180 |
Table 4
Analysis of variance of the regression model"
方差来源 source of variance | 平方和 sum of squares | 自由度 degree of freedom | 均方 mean square | F值 F value | P值 P value | 显著性1) significant |
模型 model | 5 065.78 | 5 | 1 013.16 | 27.34 | 0.000 2 | *** |
X1 | 37.50 | 1 | 37.50 | 1.01 | 0.348 0 | |
X2 | 37.50 | 1 | 37.50 | 1.01 | 0.348 0 | |
X1X2 | 784.00 | 1 | 784.00 | 21.15 | 0.002 5 | ** |
X12 | 1 125.81 | 1 | 1 125.81 | 30.37 | 0.000 9 | *** |
X22 | 1 485.24 | 1 | 1 485.24 | 40.07 | 0.000 4 | *** |
残差 residual | 259.45 | 7 | 37.06 | |||
失拟项 lack of fit | 208.25 | 3 | 69.42 | 5.42 | 0.068 0 | |
纯误差 pure error | 51.20 | 4 | 12.80 | |||
总变异 total variation | 5 325.23 | 12 |
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