NDLI: Optimization of PNP Degradation by UV-Activated Granular Activated Carbon Supported Nano-Zero-Valent-Iron-Cobalt Activated Persulfate by Response Surface Method

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Optimization of PNP Degradation by UV-Activated Granular Activated Carbon Supported Nano-Zero-Valent-Iron-Cobalt Activated Persulfate by Response Surface Method

Content Provider	MDPI
Author	Zhang, Jiankun Zhang, Huifang Chen, Lei Fan, Xiulei Yang, Yangyang
Copyright Year	2022
Description	Nitrophenols are toxic substances that present humans and animals with the risk of deformities, mutations, or cancer when ingested or inhaled. Traditional water treatment technologies have high costs and low p-nitrophenol (PNP) removal efficiency. Therefore, an ultraviolet (UV)-activated granular activated carbon supported nano-zero-valent-iron-cobalt (Co-nZVI/GAC) activated persulfate (PS) system was constructed to efficiently degrade PNP with Co-nZVI/GAC dosage, PS concentration, UV power, and pH as dependent variables and PNP removal rate as response values. A mathematical model between the factors and response values was developed using a central composite design (CCD) model. The model-fitting results showed that the PNP degradation rate was 96.7%, close to the predicted value of 98.05 when validation tests were performed under Co-nZVI/GAC injection conditions of 0.827 g/L, PS concentration of 3.811 mmol/L, UV power of 39.496 W, and pH of 2.838. This study demonstrates the feasibility of the response surface methodology for optimizing the UV-activated Co-nZVI/GAC-activated PS degradation of PNP.
Starting Page	8169
e-ISSN	16604601
DOI	10.3390/ijerph19138169
Journal	International Journal of Environmental Research and Public Health
Issue Number	13
Volume Number	19
Language	English
Publisher	MDPI
Publisher Date	2022-07-04
Access Restriction	Open
Subject Keyword	International Journal of Environmental Research and Public Health Environmental Engineering Environmental Sciences Persulfate Ultraviolet Activated Carbon Supported Nano-zero-valent-iron-cobalt Nanoparticles Response Surface Methodology
Content Type	Text
Resource Type	Article

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