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响应面法优化 UV 激活负载型纳米零价铁-钴的颗粒活性炭引发过硫酸盐降解对硝苯酚。

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

机构信息

School of Environmental Engineering, Xuzhou University of Technology, Xuzhou 221018, China.

College of Energy and Environmental Engineering, Hebei University of Engineering, Handan 056038, China.

出版信息

Int J Environ Res Public Health. 2022 Jul 4;19(13):8169. doi: 10.3390/ijerph19138169.

DOI:10.3390/ijerph19138169
PMID:35805828
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9266466/
Abstract

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.

摘要

硝酚类物质是有毒物质,摄入或吸入会对人类和动物造成畸形、突变或癌症的风险。传统的水处理技术成本高,对 p-硝酚(PNP)的去除效率低。因此,构建了一种紫外(UV)激活的颗粒活性炭负载纳米零价铁-钴(Co-nZVI/GAC)激活过硫酸盐(PS)系统,以 Co-nZVI/GAC 用量、PS 浓度、UV 功率和 pH 为自变量,PNP 去除率为响应值,高效降解 PNP。采用中心复合设计(CCD)模型建立了因素与响应值之间的数学模型。模型拟合结果表明,在 Co-nZVI/GAC 投加量为 0.827g/L、PS 浓度为 3.811mmol/L、UV 功率为 39.496W、pH 值为 2.838 的条件下进行验证试验时,PNP 的降解率达到 96.7%,接近 98.05%的预测值。本研究证明了响应面法优化 UV 激活 Co-nZVI/GAC 激活 PS 降解 PNP 的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/58fde2f3c51b/ijerph-19-08169-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/40495382e667/ijerph-19-08169-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/b0a9d9c6b26f/ijerph-19-08169-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/a6af569d8327/ijerph-19-08169-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/d1d8a6a4bb19/ijerph-19-08169-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/325c69a27f25/ijerph-19-08169-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/671de1e4a7b8/ijerph-19-08169-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/9cddb181237d/ijerph-19-08169-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/ca29934195f6/ijerph-19-08169-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/ed6c93aeb920/ijerph-19-08169-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/58fde2f3c51b/ijerph-19-08169-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/40495382e667/ijerph-19-08169-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/b0a9d9c6b26f/ijerph-19-08169-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/a6af569d8327/ijerph-19-08169-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/d1d8a6a4bb19/ijerph-19-08169-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/325c69a27f25/ijerph-19-08169-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/671de1e4a7b8/ijerph-19-08169-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/9cddb181237d/ijerph-19-08169-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/ca29934195f6/ijerph-19-08169-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/ed6c93aeb920/ijerph-19-08169-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ad0/9266466/58fde2f3c51b/ijerph-19-08169-g010.jpg

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