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Figure 1.
Integrated concepts and methodologies for life cycle risk assessment of industrial chemicals synergizing industrial-environmental metabolism and key toxicant identification in mixtures.
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Life cycle stage Current limitations Tentative solutions Remaining challenges Industrial metabolism • Complex industrial reactions and transformations obstruct linkage of source chemicals to terminal pollutants
• Models assume idealized conditions, ignoring operational variability• Multi-model integration to quantify material flows across sector transformations
• Coupling molecular-scale models with intrinsic kinetics and process simulation to resolve industrial 'black boxes'• Limited industrial reaction data causes prediction-reality discrepancies
• Validation challenges in cross-scale model integrationEnvironmental fate and transport • Coupled environmental transport/transformation impedes quantitative tracking of terminal pollutants
• Existing models treat transport and transformation as separate processes• Application-specific multimedia models to clarify chemical transport
• Apply transformation models integrating reaction rules, machine learning, and experimental data for environmental metabolites• No integrated frameworks for simultaneous transport-transformation modeling
• Limited joint assessment of dynamic environmental processesRisk of mixtures • Traditional key toxicant identification ignores contaminant interactions, failing to capture mixture effects • Adverse Outcome Pathway (AOP) network construction for toxicity pathway elucidation
• Quantitative AOP for key event relationships and dominant pathway probability
• Event-driven taxonomy (EDT) for high-risk toxicant identification• Limited AOP data (incomplete pathway coverage and lack of quantitative interaction data)
• Constrained cumulative risk evaluation for complex mixturesTable 1.
Limitations, solutions, and challenges identified for enabling the life cycle management of industrial chemicals
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