2021
DOI: 10.1016/j.scitotenv.2021.147889
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Optimization of Fenton process on removing antibiotic resistance genes from excess sludge by single-factor experiment and response surface methodology

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Cited by 28 publications
(12 citation statements)
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“…Additionally, the relative abundance of Firmicutes was increased by both nZnO and nZVI addition, suggesting that these bacteria were more resistant to nZnO and nZVI disturbance. These results implied that Firmicutes may play an essential role in spreading tet-ARGs/ intI1 , consistent with our previous studies [ 16 , 17 ]. By comparison, nZnO seemed more toxic to bacteria than nZVI because a lower concentration of nZnO (e.g., nZnO-4) also significantly altered the bacterial community ( Figure 3 B).…”
Section: Discussionsupporting
confidence: 93%
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“…Additionally, the relative abundance of Firmicutes was increased by both nZnO and nZVI addition, suggesting that these bacteria were more resistant to nZnO and nZVI disturbance. These results implied that Firmicutes may play an essential role in spreading tet-ARGs/ intI1 , consistent with our previous studies [ 16 , 17 ]. By comparison, nZnO seemed more toxic to bacteria than nZVI because a lower concentration of nZnO (e.g., nZnO-4) also significantly altered the bacterial community ( Figure 3 B).…”
Section: Discussionsupporting
confidence: 93%
“…The extracted DNA was checked for quality using Nanodrop 2000 (Thermo, Waltham, MA, USA) to ensure the value of A 260–280 ranged from 1.8 to 2.0, and the DNA concentration was higher than 10 ng μL −1 . Afterward, the DNA was stored at −80 °C before further analysis [ 17 ].…”
Section: Methodsmentioning
confidence: 99%
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“…R 2 Adj were 0.9473, 0.9872, 0.9367, indicating that the models could explain 94.73%, 98.72%, 93.67% of the changes in response values, respectively, and the regression models could better predict the experimental results and optimize the process parameters [31]. The AP values of the models in this experiment were 24.562, 34.144, 18.622, all greater than 4, while the coefficients of variation CV were 0.63%, 0.52%, 1.06%, all less than 10%, indicating that the models are highly accurate and stable [34,35]. In summary, RSM can better simulate the removal patterns of magnetically modified lignite for Cu 2+ , Zn 2+ , and Pb 2+ , and is a meaningful model.…”
Section: Analysis Of Response Surface Experimental Resultsmentioning
confidence: 86%