⚡ pH-Dependent Organic Pollutant Breakdown via Plasma

⚡🧪 Non-thermal plasma (NTP) has emerged as a powerful advanced oxidation technology for degrading persistent organic contaminants in water and air. By generating highly reactive species such as •OH, O₃, and reactive nitrogen species, NTP enables rapid pollutant breakdown under ambient conditions, offering an energy-efficient and chemical-free remediation pathway. 🌍✨


🌡️📊 pH plays a crucial role in controlling degradation efficiency and reaction pathways during plasma treatment. Experimental studies reveal that acidic, neutral, and alkaline environments significantly influence reactive species formation and contaminant stability. Density Functional Theory (DFT) calculations further explain how pH-dependent protonation alters molecular orbitals, bond dissociation energies, and reaction energetics at the atomic level. 🔬⚛️

🤖📈 Machine learning (ML) models complement experiments and DFT by predicting degradation trends, rate constants, and optimal operating conditions. By integrating experimental data with theoretical descriptors, ML accelerates mechanism understanding and process optimization. This multidisciplinary strategy paves the way for intelligent, pH-tunable plasma systems for sustainable environmental cleanup. ♻️🌱

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