Developed by researchers at ETH Zurich and Agroscope, the analytical workflow combines Soxhlet extraction and proton nuclear magnetic resonance (¹H-NMR) spectroscopy to detect and measure the degradation of common biodegradable polymers in diverse soil environments. This marks a substantial step forward for manufacturers, regulators, and end-users aiming to ensure biodegradable materials function as advertised under real-world conditions.
Biodegradable polyesters such as PBAT (poly(butylene adipate-co-terephthalate)) and PLA (polylactic acid) are central to sustainability strategies across the agriculture, packaging, landscaping, and forestry sectors. In applications such as mulch films, seed coatings, slow-release fertilizer capsules, erosion control materials, and tree shelters, these plastics are intentionally deployed in open environments where full recovery is not feasible.
The new workflow is particularly relevant for:
This method not only improves lab accuracy but also introduces a practical field component. The workflow includes:
The method reliably measured the presence of eight biodegradable plastics and one conventional plastic (polystyrene) across six different soil types—including soils with high organic content that typically interfere with chemical testing—demonstrating its accuracy and versatility under real-world conditions.
After six months of incubation, PHBH (a polyhydroxyalkanoate) exhibited strong biodegradation across all soils, confirming its high environmental compatibility. In contrast, PBAT and PLA showed variable performance:
These findings highlight the need for soil-specific verification of biodegradability claims—especially for products marketed as soil-degradable or compostable.
With regulatory frameworks evolving and pressure mounting from consumers and investors, industries are increasingly expected to back sustainability claims with verifiable data. This new workflow offers:
For companies in bioplastics manufacturing, environmental testing, and product development, this method bridges the gap between lab-based optimism and field-based reality.