journal article·2025

Innovative materials that behave like robots to combat plastic pollution

Shafqat Ali, Muhammad Haris Khan, Zareen Zuhra, Jinfeng Wang

Materials Horizons· Volume 12· Issue 12
Publisher page

Abstract

The growing plastic pollution crisis demands novel approaches, with innovative materials that mimic robotic behaviors emerging as a promising solution. This approach explores the development and application of smart materials that can autonomously engage in plastic waste removal, functioning like robots under various environmental conditions. We focus on materials activated by light, magnetic fields, chemical fuels, and ion exchange, which are designed to target and remove plastic waste efficiently. The key properties of these materials, such as self-activation, adaptability, and precision that enable them to function autonomously in waste management systems, are examined. The integration of these innovative materials offers significant advantages, including faster waste processing, reduced human exposure to hazardous waste, and enhanced sorting accuracy. Additionally, this review evaluates the environmental impact, scalability, and cost-effectiveness of these materials in comparison to traditional methods. Finally, the potential of these materials to play a central role in sustainable plastic waste management and contribute to a circular economy is discussed.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Microplastics and Plastic Pollution · Micro and Nano Robotics · Modular Robots and Swarm Intelligence

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of New Textile Materials and Advanced Processing Technologies, National Local Joint Laboratory for Advanced Textile Processing and Clean Production, Wuhan Textile University, Wuhan 430200, China

School of Bioengineering and Health, Wuhan Textile University, Wuhan 430200, P. R. China

Funding

National Natural Science Foundation of China · Wuhan Textile University

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