Mn-doped DSA electrode and optimized application in wastewater treatment process

doi:10.16085/j.issn.1000-6613.2023-0860

Abstract

Abstract:

Ti/SnO₂-Sb/SnO₂-Sb-Mn electrode was prepared and characterized. The results showed that the intermediate layer played a great role in the electrochemical performance. The box-behnken model was used to optimize the electrochemical degradation of dye wastewater. The effect of electrolytic voltage, stirring rate and electrode span on degradation rate was quantitatively analyzed. A predictive model was established based on the degradation rate as the response value. The analysis showed that the selected mathematical model was well fitted, the influence factors followed the order: electrolytic voltage>electrode span>stirring rate. The optimum conditions were 4.8V, 320r/min, 1.5cm, and the predicted degradation rate could reach 99.3%. The predicted value of the model was close to the experimental data which illustrated the feasibility and effectiveness of the proposal method. This study could provide the technical guidance for the treatment of dyeing wastewater by electrocatalysis degradation.

Key words: box-behnken response surface methodology, Mn-doped DSA electrode, electrocatalytic oxidation, degradation, dye wastewater

摘要：

以Ti/SnO₂-Sb形稳电极（DSA）为基底，采用浸渍法制备负载有活性层的Ti/SnO₂-Sb/SnO₂-Sb-Mn电极并进行了表征。利用box-behnken实验设计及响应曲面分析法，探讨槽压、搅拌速率、电极间距这三个因素对亚甲基蓝电催化脱色效率的影响，并建立相应的多元二次回归模型，方差分析结果表明，模型的拟合效果好，影响因素的显著性顺序依次为：槽压>电极间距>搅拌速率。验证实验结果显示，当槽压为4.8V、搅拌速率为320r/min、电极间距为1.5cm时，亚甲基蓝的脱色效果达到最佳，此时脱色率达到99.3%，模型的预测值非常接近实验值，验证了该方法的可行性和有效性，可为电催化脱色处理印染废水提供一定的技术指导。

关键词: box-behnken响应曲面法, 锰掺杂DSA电极, 电催化氧化, 脱色, 印染废水

CLC Number:

O242

ZHU Lianyan, ZHOU Xingfu. Mn-doped DSA electrode and optimized application in wastewater treatment process[J]. Chemical Industry and Engineering Progress, 2024, 43(6): 3459-3467.

朱连燕, 周幸福. 锰掺杂DSA电极及其对印染废水处理的过程优化[J]. 化工进展, 2024, 43(6): 3459-3467.

Figures/Tables 13

References 28

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序号	X₁	X₂	X₃	脱色率（Y）/%
序号	X₁	X₂	X₃	实验值	预测值
1	3	0	2	43.4	42.74
2	5	0	2	96.2	94.88
3	3	1000	2	47.3	48.61
4	5	1000	2	71.3	71.96
5	3	500	1	73.7	75.64
6	5	500	1	98	100.58
7	3	500	3	43	40.41
8	5	500	3	92.9	90.96
9	4	0	1	76.2	74.93
10	4	1000	1	77	73.75
11	4	0	3	56.6	59.85
12	4	1000	3	42.7	43.98
13	4	500	2	81.9	83.32
14	4	500	2	81.7	83.32
15	4	500	2	84	83.32
16	4	500	2	85.6	83.32
17	4	500	2	83.4	83.32

序号	X₁	X₂	X₃	脱色率（Y）/%
序号	X₁	X₂	X₃	实验值	预测值
1	3	0	2	43.4	42.74
2	5	0	2	96.2	94.88
3	3	1000	2	47.3	48.61
4	5	1000	2	71.3	71.96
5	3	500	1	73.7	75.64
6	5	500	1	98	100.58
7	3	500	3	43	40.41
8	5	500	3	92.9	90.96
9	4	0	1	76.2	74.93
10	4	1000	1	77	73.75
11	4	0	3	56.6	59.85
12	4	1000	3	42.7	43.98
13	4	500	2	81.9	83.32
14	4	500	2	81.7	83.32
15	4	500	2	84	83.32
16	4	500	2	85.6	83.32
17	4	500	2	83.4	83.32

方差来源	平方和	自由度	均方	F	P
模型	5693.3	9	632.6	73.9	<0.0001
X₁	2850.1	1	2850.1	333	<0.0001
X₂	145.5	1	145.3	16.9	0.0045
X₃	1005.7	1	1005.8	117.5	<0.0001
X₁X₂	207.3	1	207.4	24.2	0.0017
X₁X₃	163.8	1	163.8	19.1	0.0033
X₂X₃	54	1	54	6.3	0.0403
X₁²	26.3	1	26.3	3.1	0.1233
X₂²	1114.9	1	1114.9	130.3	<0.0001
X₃²	64.8	1	64.78	7.57	0.0284
残差	59.91	7	8.56	—	—
失拟项	49.6	3	16.53	6.42	0.0522
误差	10.31	4	2.58	—	—
总和	5753.2	16	—	—	—

方差来源	平方和	自由度	均方	F	P
模型	5693.3	9	632.6	73.9	<0.0001
X₁	2850.1	1	2850.1	333	<0.0001
X₂	145.5	1	145.3	16.9	0.0045
X₃	1005.7	1	1005.8	117.5	<0.0001
X₁X₂	207.3	1	207.4	24.2	0.0017
X₁X₃	163.8	1	163.8	19.1	0.0033
X₂X₃	54	1	54	6.3	0.0403
X₁²	26.3	1	26.3	3.1	0.1233
X₂²	1114.9	1	1114.9	130.3	<0.0001
X₃²	64.8	1	64.78	7.57	0.0284
残差	59.91	7	8.56	—	—
失拟项	49.6	3	16.53	6.42	0.0522
误差	10.31	4	2.58	—	—
总和	5753.2	16	—	—	—