Predicting Transformation Products during Aqueous Oxidation Processes: Current State and Outlook

Area of Science:

• Environmental Chemistry
• Water Treatment Technologies
• Computational Toxicology

Background:

• Oxidative water treatment addresses hygiene and micropollutant concerns.
• Identifying and predicting transformation products (TPs) from micropollutants is a significant challenge.
• Understanding TP toxicity is crucial for human and ecosystem health.

Purpose of the Study:

• To review progress in experimental and computational approaches for predicting TPs in oxidative water treatment.
• To identify knowledge gaps in current predictive capabilities.
• To outline future research directions for advancing TP prediction.

Main Methods:

• Review of experimental studies on oxidative water treatment and TP formation.
• Analysis of computational approaches for predicting reaction kinetics and mechanisms.
• Integration of experimental and theoretical findings.

Main Results:

• Significant advancements have been made by coupling experimental and computational studies.
• Current theoretical tools alone cannot predict TPs in aqueous systems.
• Key progress highlights the potential for improved prediction of TPs and their toxicity.

Conclusions:

• Further research is needed to bridge knowledge gaps in predicting TPs.
• Integrating experimental and computational methods is essential for advancing predictive capabilities.
• Enhanced prediction of TPs will improve the safety and efficacy of oxidative water treatment.