PubMed · 2026-02-25
Researchers propose a unified monitoring framework that combines tiny biosensors, soil microbe data, and satellite remote sensing to track how well nature breaks down chemical pollutants in water and soil — and to predict when cleanup will be complete.
Current detection technologies range from microscale biosensors and volatile organic compound analysis to landscape-scale remote sensing, but no integrated cross-scale system yet exists.
A major bottleneck is the lack of standardized datasets that would allow machine-learning models to reliably predict contaminant degradation trajectories.
Fabricated (synthetic) ecosystems are proposed as a tool for generating the controlled, standardized training data needed to advance predictive remediation models.