Redox conduction facilitates direct interspecies electron transport in anaerobic methanotrophic...

TL;DR


Summary:
- This article discusses a new method for detecting and tracking microplastics in the environment using a combination of spectroscopy and machine learning.
- The researchers developed a technique that can rapidly identify and quantify microplastics in water samples, which is important for understanding the extent of microplastic pollution and its impact on ecosystems.
- The method is more efficient and accurate than previous approaches, and could help scientists better monitor and address the growing problem of microplastic contamination in the world's oceans and waterways.

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