Efficient removal of Basic Violet 16 by a multistage oxygen enhanced liquid glow discharge plasma system: Mechanism and roles of reactive species quantified by machine learning

被引:0
作者
Fang, Ye [1 ]
Wang, Yuru [1 ]
Zeng, Jingyi [1 ]
Wang, Yaxin [1 ]
Guo, Mengyao [1 ]
Kuang, Jiangmeng [2 ]
Zheng, Wei [1 ]
Wang, Ruiyuan [1 ]
Li, Minrui [1 ]
机构
[1] Shaanxi Normal Univ, Coll Geog & Tourism, Dept Environm Sci, Xian 710119, Peoples R China
[2] Thermo Fisher Sci, Shanghai 200120, Peoples R China
关键词
Liquid glow discharge plasma; Reactive species; Machine learning; Degradation product analysis; Organic dyes; ADVANCED OXIDATION PROCESSES; SINGLET OXYGEN; DEGRADATION; DYE; ACID; DECOLORIZATION; ADSORPTION; GENERATION; KINETICS; INDOLE;
D O I
10.1016/j.seppur.2024.127431
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
A multistage oxygen enhanced Liquid Glow Discharge Plasma reactor (LGDP/multistage oxygen, LGDP/M-O2) was designed to improve the removal efficiency of organic dyes in wastewater. As a result of the multistage oxygen system, the degradation rate constant of Basic Violet 16 (BV16) was enhanced by approximately 18 times, the decolorization rate of BV16 was 97.39 % in 4 min, and the removal rate of TOC was 33.32 % in 10 min. Detailed study of how the system works to help break down pollutants. The reactive species series of experiments showed that multistage oxygen injection strongly promoted reactive species production and utilization. Meanwhile, a machine learning model to quantify the contribution of reactants was proposed. Machine learning indicated the dominating contribution of reactive oxygen species (63.89 %) and reactive chlorine species (21.92 %) in the degradation of BV16. In addition, the transformation intermediates during the degradation of BV16 were monitored. Accordingly, three possible degradation pathways of BV16 in the LGDP/M-O2 system were proposed, i.e., benzene ring substitution of hydroxyl groups, hydroxyl addition of C=C double bond, and halogenation of benzene rings. This study demonstrates the importance of the LGDP/M-O2 system for organic dye removal from wastewater.
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页数:12
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  • [21] Accelerating the discovery of acid gas-selective MOFs for natural gas purification: A combination of machine learning and molecular fingerprint
    Gao, Weiqun
    Zheng, Weizhong
    Yan, Kexin
    Sun, Weizhen
    Zhao, Ling
    [J]. FUEL, 2023, 350
  • [22] Persulfate activated by non-thermal plasma for organic pollutants degradation: A review
    Guo, He
    Pan, Shijia
    Hu, Zhixuan
    Wang, Yawen
    Jiang, Wenxuan
    Yang, Yexiang
    Wang, Yongchun
    Han, Jiangang
    Wu, Yifeng
    Wang, Tiecheng
    [J]. CHEMICAL ENGINEERING JOURNAL, 2023, 470
  • [23] Cleaner dyeing of textiles using plasma treatment and natural dyes: A review
    Haji, Aminoddin
    Naebe, Maryam
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 265
  • [24] An internal circulation iron-carbon micro-electrolysis reactor for aniline wastewater treatment: Parameter optimization, degradation pathways and mechanism
    Han, Yanhe
    Xu, Han
    Zhang, Lei
    Ma, Xuejiao
    Man, Yang
    Su, Zhimin
    Wang, Jing
    [J]. CHINESE JOURNAL OF CHEMICAL ENGINEERING, 2023, 63 : 96 - 107
  • [25] Degradation of basic violet 16 dye by electro-activated persulfate process from aqueous solutions and toxicity assessment using microorganisms: determination of by-products, reaction kinetic and optimization using Box-Behnken design
    Hasani, Kamal
    Moradi, Mina
    Mokhtari, Seiyed Ahmad
    Sadeghi, Hadi
    Dargahi, Abdollah
    Vosoughi, Mehdi
    [J]. INTERNATIONAL JOURNAL OF CHEMICAL REACTOR ENGINEERING, 2021, 19 (03) : 261 - 275
  • [26] The performance and pathway of indole degradation by ionizing radiation
    He, Hang
    Wang, Shizong
    Wang, Jianlong
    [J]. CHEMOSPHERE, 2022, 287
  • [27] A new insight into catalytic ozonation of sulfasalazine antibiotic by plasma-treated limonite nanostructures: Experimental, modeling and mechanism
    Heidari, Zahra
    Pelalak, Rasool
    Malekshah, Rahime Eshaghi
    Pishnamazi, Mahboubeh
    Rezakazemi, Mashallah
    Aminabhavi, Tejraj M.
    Shirazian, Saeed
    [J]. CHEMICAL ENGINEERING JOURNAL, 2022, 428
  • [28] Comparing the performance of various advanced oxidation processes for treatment of acetone contaminated water
    Hernandez, R
    Zappi, M
    Colucci, J
    Jones, R
    [J]. JOURNAL OF HAZARDOUS MATERIALS, 2002, 92 (01) : 33 - 50
  • [29] Insight into micropollutant abatement during ultraviolet light-emitting diode combined electrochemical process: Reaction mechanism, contributions of reactive species and degradation routes
    Hu, Rui
    Yang, Sui-Qin
    Li, Jia-Ying
    Sun, Fengyi
    Liu, Zheng-Qian
    Yang, Jingjing
    Cui, Yu-Hong
    Zhang, Beiping
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 876
  • [30] Machine learning in natural and engineered water systems
    Huang, Ruixing
    Ma, Chengxue
    Ma, Jun
    Huangfu, Xiaoliu
    He, Qiang
    [J]. WATER RESEARCH, 2021, 205