Reducing Food Loss and Associated Greenhouse Gas Emissions Using a Dynamic Shelf Life Approach.

ABSTRACT: The integration of IoT sensors with dynamic shelf life (DSL) systems unlocks real-time visibility into perishable goods, yet the full life-cycle trade-offs of such technologies remain underexplored. This study develops a process-based life cycle framework, incorporating a kinetic quality-degradation model and Monte Carlo simulations, to evaluate both avoided food loss and waste and sensor-embedded climate burdens across China's fresh food chains. Results show this IoT-DSL regime extends average shelf life by 8.1-13.8% in fruits, dairy, and vegetables, although gains fall two- to 5-fold for animal and aquatic products at lower quality thresholds, while nontechnical interventions deliver only 3.2-6.5% waste reductions. Large-scale IoT-DSL deployment could avert 17.32 ± 3.65 Mt yr^-1

SUBMITTER: Wu J 

PROVIDER: S-EPMC12269072 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature