Issue 59, 2018, Issue in Progress
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RSC Advances

Degradation of dichloroacetonitrile by a UV/peroxymonosulfate process: modeling and optimization based on response surface methodology (RSM)

Xing Zhang,a   Jilun Yao, ORCID logo *b   Wei Peng,a   Wensi Xu,a   Zhongguo Li,a   Chong Zhoua  and  Zhendong Fang*a  

* Corresponding authors

a Department of Military Facilities, Army Logistics University of PLA, Chongqing 401331, China

b Engineering and Technological Research Center of National Disaster Relief Equipment, Army Logistics University of PLA, Chongqing, China
E-mail: zing@whut.edu.cn

Abstract

Response surface methodology (RSM) was utilized to model and optimize the dichloroacetonitrile (DCAN) degradation process by UV/PMS. A quadratic function between DCAN degradation efficiency and three factors including dosage of PMS, UV power and retention time was obtained. The model fitted very well according to high the value of R2 (0.9919) and Adj-R2 (0.9814). Additionally, the analysis of variance showed the influence of factors on degradation efficiency followed: retention time > UV power > dosage of PMS. Finally, the optimum conditions were suggested under this model. The degradation efficiency reached the maximum value of 96.2% with the optimum conditions: dosage of PMS = 0.2 mM, UV power = 7.95 W, retention time = 80 min.

Graphical abstract: Degradation of dichloroacetonitrile by a UV/peroxymonosulfate process: modeling and optimization based on response surface methodology (RSM)

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Article information

DOI
https://doi.org/10.1039/C8RA07009A
Article type
Paper
Submitted
21 Aug 2018
Accepted
25 Sep 2018
First published
01 Oct 2018
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2018,8, 33681-33687

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Degradation of dichloroacetonitrile by a UV/peroxymonosulfate process: modeling and optimization based on response surface methodology (RSM)

X. Zhang, J. Yao, W. Peng, W. Xu, Z. Li, C. Zhou and Z. Fang, RSC Adv., 2018, 8, 33681 DOI: 10.1039/C8RA07009A

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