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Low-energy photoresponsive magnetic-assisted cleaning microrobots for removal of microplastics

How can we tackle the microplastic threat in water? A microrobot can remove microplastics even in low sunlight conditions, offering a potential solution.

Being lightweight and chemically inert, microplastics are pervasive in the environment, dispersing over extensive distances through air, land, freshwater, and marine systems. These particles have been shown to penetrate biological barriers, making their way into various human tissues such as blood and even the brain.

Efforts to eliminate microplastics face significant hurdles, as they are challenging to detect and effectively remove once introduced into biological systems. Traditional sewage treatment processes, including physical filtration and coagulation, have proven insufficient for addressing this issue. The persistence of microplastics underscores the need for advanced solutions to mitigate their environmental and health impacts.

Microrobots: A novel solution for microplastic removal

Microrobots have found applications across various fields, including environmental treatment and biomedicine, and recent research has explored their potential for removing microplastics. However, existing microrobot designs often depend on small amounts of toxic chemical fuels to power their autonomous movement, raising concerns about secondary pollution.

A novel solution has been developed in the form of low-energy photoresponsive microrobots assisted by magnetic fields. Constructed from environmentally friendly Bi₂WO₆ material, these microrobots eliminate the need for additional chemical fuels. When exposed to visible light, they effectively adsorb microplastics in pure water environments, offering a sustainable approach to tackling microplastic pollution.

Constructed from Bi₂WO₆ material, these magnetic-assisted microrobots eliminate the need for additional chemical fuels. When exposed to visible light, they effectively adsorb microplastics in pure water environments, offering a sustainable approach to tackling microplastic pollution.

Tingting Yu

Swarming behavior and adsorption performance

The newly developed cleaning microrobot demonstrates remarkable efficiency in microplastic removal. These microrobots can spontaneously assemble in pure water environments and exhibit strong adsorption capabilities. Leveraging their excellent solar absorption properties, they operate effectively under low light intensity, making them suitable for microplastic removal in aquatic systems and potential human applications.

Research into their performance highlighted a robust relationship between the size of microrobot clusters and their adsorption velocity. Larger clusters achieved faster adsorption rates, enhancing efficiency. While the velocity of microplastics decreases with increasing distance from the microrobots, they are capable of capturing particles more than 100 μm away. These findings underscore their adaptability and potential for broader application in addressing microplastic pollution.

Motion control in microrobots for enhanced cleaning

A magnetic field has been introduced to enhance the cleaning efficiency of microrobots by enabling precise control and adjustment of their motion. To achieve this, Fe₃O₄ nanoparticles were incorporated, allowing the microrobots to respond to magnetic forces. These nanoparticles self-assemble with the microrobots in water, forming what is referred to as magnetic cleaning microrobots.

This assembly process can be regulated using the magnetic field, providing an effective means of controlling the size of the microrobot clusters. Larger clusters offer an extended cleaning range during their swinging motion, and their efficiency can be fine-tuned by adjusting their size. This development marks a significant step forward in using magnetic microrobots for advanced cleaning applications.

Achieving high cleaning efficiency with microrobots

Magnetic cleaning microrobots effectively remove microplastics when operating in coordinated groups. Research investigating the effect of magnetic field frequency on cleaning velocity showed impressive results. A cluster of microrobots operating at 14 Hz achieved a remarkable 98% cleaning efficiency within 93 seconds. The process involves quantifying microplastics before and after cleaning to measure effectiveness visually.

Precise magnetic control enhances functionality, enabling selective capture of microplastics from any location in the water. Operating under a rotating magnetic field further boosts cleaning velocity and broadens the capture range. Additionally, controlling the size of microrobot clusters via magnetic fields allows fine-tuning of their cleaning range, making these systems adaptable and highly effective for large-scale microplastic removal.

Broader applications and future outlook

Cleaning microrobots can adsorb micromaterials of varying compositions and sizes, offering broad potential across diverse fields. Additionally, the environmentally friendly photocatalytic material Bi₂WO₆ paves the way for innovative applications. Key potential uses include:

  • Biological applications: Effective removal of microplastics and other micro-waste from blood and biological environments, supporting health and medical solutions.
  • Water purification: Elimination of microplastics from domestic water supplies, mitigating the risks posed to human health.
  • Plastic degradation: Facilitating the breakdown of captured microplastics, providing a sustainable solution to plastic waste management challenges.

These applications highlight the promising versatility and impact of cleaning microrobots in addressing critical environmental and health concerns.

Conclusion

Magnetic cleaning microrobots, integrating photocatalytic and magnetic control capabilities, offer a significant advancement in microplastic removal technologies. These microrobots outperform traditional filtration and flocculation methods with their superior cleaning velocity and efficiency.

Powered by water and guided by magnetic control, these microrobots exhibit versatility across various applications. Their simple structure and ease of synthesis make them viable for industrial production and large-scale deployment. Furthermore, their low-energy response to domestic light substantially lowers operational costs, solidifying their potential as a cost-effective solution to address global microplastic pollution challenges.

Advice to government or business

  1. Introducing a microplastic releasing test of plastic products at different temperatures and at various conditions (exposure to microwave, sunshine, solvent, etc.) depending on time.
  2. Promoting the popularization of science on the consequences that microplastics bring to the planet and all kinds of lives.
  3. Promoting the development of new eco-friendly functional materials to address complex water pollution. Developing multifunctional composite materials with self-cleaning, anti-fouling, and antibacterial properties, combined with low-cost, efficient nanotechnology, ensures material sustainability, biodegradability, and environmental friendliness.

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Journal reference

Wang, Z., Xu, L., Cai, X., & Yu, T. (2024). Low-Energy Photoresponsive Magnetic-Assisted Cleaning Microrobots for Removal of Microplastics in Water Environments. ACS Applied Materials & Interfaces, 16(45), 61899-61909. https://pubs.acs.org/doi/10.1021/acsami.4c11152

Tingting Yu received a B.Sc. degree in computational physical chemistry and an M.Sc. degree in chemical engineering and physical chemistry from the Technical University of Darmstadt, Germany, and a Ph.D. degree in physical chemistry from the University of Stuttgart and the Max Planck Institute for Intelligent Systems, Germany. She is currently an associate professor at the Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China. Her research interests include micro/nanorobotics and nanofabrication.

Lei Xu is a PhD candidate at South China University of Technology. Her research interests include the design and application of micro/nanorobots.