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<p>This study investigates the rapid decolorization of methyl blue (MB) dye in water using a novel atmospheric non-thermal pulsed plasma system with a multi-pin-to-plate electrode configuration. The system integrates optical emission spectroscopy, UV–visible absorption spectroscopy, and response surface methodology for experimental design. A global kinetic model simulating over 150 species and 3500 reactions was employed to elucidate degradation mechanisms. Under optimized conditions, 97% of MB (initial concentration: 5&#xa0;ppm) was decolorized within 120&#xa0;s of plasma treatment. Significant increases in reactive species concentrations (·OH, O<sub>3</sub>) were observed, alongside changes in water chemistry (pH, ORP, EC). These findings demonstrate the efficiency and scalability of the proposed plasma system for water treatment, providing new mechanistic insights and a framework for optimizing plasma-based degradation of organic pollutants.</p>

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Deep insight into methyl blue decolorization using non-thermal pulsed plasma: experimental and modeling approaches

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年9月26日

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  • Saeed Karimian,
  • Mahdi Shariat,
  • Hamidreza Mashayekhi

摘要

This study investigates the rapid decolorization of methyl blue (MB) dye in water using a novel atmospheric non-thermal pulsed plasma system with a multi-pin-to-plate electrode configuration. The system integrates optical emission spectroscopy, UV–visible absorption spectroscopy, and response surface methodology for experimental design. A global kinetic model simulating over 150 species and 3500 reactions was employed to elucidate degradation mechanisms. Under optimized conditions, 97% of MB (initial concentration: 5 ppm) was decolorized within 120 s of plasma treatment. Significant increases in reactive species concentrations (·OH, O3) were observed, alongside changes in water chemistry (pH, ORP, EC). These findings demonstrate the efficiency and scalability of the proposed plasma system for water treatment, providing new mechanistic insights and a framework for optimizing plasma-based degradation of organic pollutants.