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Peptides that can remove microplastics identified

microplastic
Credit: Alfo Medeiros from Pexels

Researchers have identified peptides that can help remove microplastics from the environment by combining biophysical modeling, molecular dynamics, quantum computing, and reinforcement learning. The ultimate goal of the work is peptide-based technologies that can find, capture, and destroy microscopically tiny plastic particles. The work is in PNAS Nexus.

Microplastics, plastic particles smaller than 5 mm, are ubiquitous pollutants, found everywhere from human breastmilk to Antarctic snow. Fengqi You and colleagues used a range of tools to identify peptides able to capture and hold microplastics, which could be used to remove the tiny particles from various environments.

The authors used biophysical modeling to predict peptide-plastic interactions at atomic resolution, then validated the results with . The process was optimized with the addition of quantum annealing and —specifically a method known as proximal policy optimization.

Using these tools, the authors identified a set of plastic-binding peptides with high affinities for polyethylene and polypropylene. According to the authors, the method, when paired with experimental approaches, could be used to develop peptide-based tools for detecting, capturing, and degrading microplastic pollution.

More information: Integrating biophysical modeling, quantum computing, and AI to discover plastic-binding peptides that combat microplastic pollution, PNAS Nexus (2025).

Journal information: PNAS Nexus

Provided by PNAS Nexus

Citation: Peptides that can remove microplastics identified (2025, January 21) retrieved 4 July 2025 from /news/2025-01-peptides-microplastics.html
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