Pusan National University researchers reveal how forest soil properties influence arsenic mobility and toxicity in soil organisms
Peer-Reviewed Publication
Updates every hour. Last Updated: 23-Oct-2025 10:11 ET (23-Oct-2025 14:11 GMT/UTC)
Arsenic leaking from abandoned gold mines can harm forest ecosystems by entering soils and affecting soil organisms. In a recent study, researchers tested forest soils with different chemical properties to see how they influence arsenic mobility and toxicity in springtails. Results showed juveniles were more sensitive to mobile arsenic, while adults responded to total arsenic. These findings highlight the importance of soil chemistry and life stage in arsenic risk assessment.
Researchers at Harvard and Northwestern have developed a machine learning method that can design intrinsically disordered proteins with custom properties, addressing nearly 30% of all human proteins that are currently out of reach of AI tools like AlphaFold. The new approach uses automatic differentiation, traditionally a deep learning tool, to optimize protein sequences for desired properties.
Researchers have for the first time measured the true properties of individual MXene flakes — an exciting new nanomaterial with potential for better batteries, flexible electronics, and clean energy devices. By using a novel light-based technique called spectroscopic micro-ellipsometry, they discovered how MXenes behave at the single-flake level, revealing changes in conductivity and optical response that were previously hidden when studying only stacked layers. This breakthrough provides the fundamental knowledge and tools needed to design smarter, more efficient technologies powered by MXenes.