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International Journal of Chemical Engineering
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International Journal of Chemical Engineering
/
2022
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Article
/
Tab 2
/
Research Article
Using Sono-Electro-Persulfate Process for Atenolol Removal from Aqueous Solutions: Prediction and Optimization with the ANFIS Model and Genetic Algorithm
Table 2
Comparative evaluation of the results for this study with previous studies.
Pollutant
Degradation method
Optimum condition
Efficiency (%)
References
Initial concentration of the pollutant (mg/L)
PS concentration
Time (min)
Current intensity (A)
Cefixime
Sono-electro-fenton
3.07
10.4
81.5
97.50
[
15
]
Petrochemical wastewater
Sonoelectro-activated persulfate
3
20 (mM/L)
120
91.20
[
9
]
ATN
Oxidative treatments
10
30
94
[
30
]
ATN
By poly (AAM_MA) hydrogel
6
120
94.20
[
31
]
ATN
Sono-electro-persulfate process
7.4
11.2
200 (mg/L)
18
3.35
99.80
This study