Mineralization of trace nitro/chloro/methyl/amino-aromatic contaminants in wastewaters by advanced oxidation processes

Wenjuan Huang; Yuanhui Ji; Zhuhong Yang; Xin Feng; Chang Liu; Yinhua Zhu; Xiaohua Lu

doi:10.1021/ie100116c

Mineralization of trace nitro/chloro/methyl/amino-aromatic contaminants in wastewaters by advanced oxidation processes

Wenjuan Huang, Yuanhui Ji, Zhuhong Yang, Xin Feng, Chang Liu, Yinhua Zhu, Xiaohua Lu

College of Chemical Engineering

Nanjing Tech University

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

It has great significance to investigate the degradation of aromatic contaminants as they are highly carcinogenic and nondegradable pollutants in drinking water. In this paper, the mineralization orders of the representative nitro/chloro/methyl/amino-aromatic contaminants with oxidants (·OH, H₂O₂, ·O^-, O₂,O₃) in advanced oxidation processes (AOPs) are investigated based on the calculated standard molar Gibbs free energy changes of reaction (Δ_rGm ⁰) and the results are consistent with those from previous experimental results, electrophilic substitution orientation rules of the Hammett equation, and predicted results with a quantitative structure-activity relationship (QSAR). In addition, the quantitative function relationship between the degradation rate (r) of the aromatic contaminants and the thermodynamic driving force (Δ_rGm⁰) is analyzed in order to investigate the degradation kinetics more rigorously.

Original language	English
Pages (from-to)	6243-6249
Number of pages	7
Journal	Industrial and Engineering Chemistry Research
Volume	49
Issue number	13
DOIs	https://doi.org/10.1021/ie100116c
State	Published - 7 Jul 2010

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abstract = "It has great significance to investigate the degradation of aromatic contaminants as they are highly carcinogenic and nondegradable pollutants in drinking water. In this paper, the mineralization orders of the representative nitro/chloro/methyl/amino-aromatic contaminants with oxidants (·OH, H2O2, ·O-, O2,O3) in advanced oxidation processes (AOPs) are investigated based on the calculated standard molar Gibbs free energy changes of reaction (ΔrGm 0) and the results are consistent with those from previous experimental results, electrophilic substitution orientation rules of the Hammett equation, and predicted results with a quantitative structure-activity relationship (QSAR). In addition, the quantitative function relationship between the degradation rate (r) of the aromatic contaminants and the thermodynamic driving force (ΔrGm0) is analyzed in order to investigate the degradation kinetics more rigorously.",

author = "Wenjuan Huang and Yuanhui Ji and Zhuhong Yang and Xin Feng and Chang Liu and Yinhua Zhu and Xiaohua Lu",

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T1 - Mineralization of trace nitro/chloro/methyl/amino-aromatic contaminants in wastewaters by advanced oxidation processes

AU - Huang, Wenjuan

AU - Ji, Yuanhui

AU - Yang, Zhuhong

AU - Feng, Xin

AU - Liu, Chang

AU - Zhu, Yinhua

AU - Lu, Xiaohua

PY - 2010/7/7

Y1 - 2010/7/7

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AB - It has great significance to investigate the degradation of aromatic contaminants as they are highly carcinogenic and nondegradable pollutants in drinking water. In this paper, the mineralization orders of the representative nitro/chloro/methyl/amino-aromatic contaminants with oxidants (·OH, H2O2, ·O-, O2,O3) in advanced oxidation processes (AOPs) are investigated based on the calculated standard molar Gibbs free energy changes of reaction (ΔrGm 0) and the results are consistent with those from previous experimental results, electrophilic substitution orientation rules of the Hammett equation, and predicted results with a quantitative structure-activity relationship (QSAR). In addition, the quantitative function relationship between the degradation rate (r) of the aromatic contaminants and the thermodynamic driving force (ΔrGm0) is analyzed in order to investigate the degradation kinetics more rigorously.

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Mineralization of trace nitro/chloro/methyl/amino-aromatic contaminants in wastewaters by advanced oxidation processes

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