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Advances in microbubble-based separation technologies for microplastics removal from water

Journal of environmental chemical engineering 2025 3 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Kaiyu Zhou, Moslem Fattahi, Somasekhara Goud Sontti, Xuehua Zhang

Summary

Tiny plastic bits (microplastics) are turning up in our water supplies, and scientists are testing ways to filter them out before they reach our taps. This review looks at one promising method, using ultra-fine bubbles that stick to plastic particles and float them to the surface for removal, which has removed 75 to 95% of microplastics in lab studies. While the technology shows real promise as an affordable, scalable way to clean water, researchers note it still needs refinement before widespread use, especially for smaller or aged plastic particles that behave less predictably.

The widespread occurrence of microplastics (MPs) in aquatic environments has raised significant ecological concerns, particularly due to their interactions with coexisting pollutants and potential impact on aquatic ecosystems . Microbubble (MB) flotation has emerged as a low-cost, scalable solution, achieving removal efficiencies of 75–95 % for MPs (50–5000 µm) through tailored bubble size (10– 100 µm) and surface charge optimization. This review systematically examines the physicochemical properties of MPs, their role as pollutant carriers, and recent advancements in CFD-guided MB generation techniques, including the effects of MP aging and aquatic chemistry on separation performance. By synthesizing experimental and computational studies, we highlight how CFD modeling has uncovered critical mechanisms-such as turbulent flow regimes and bubble- MP collision probabilities-that enhance capture efficiency. Furthermore, we discuss innovations in pulsatile flow MB systems and surfactant-free stabilization strategies. This work identifies key gaps in CFD-MB integration, such as multiscale MP heterogeneity and biofilm interactions, and proposes adaptive modeling frameworks to address them. By bridging experimental insights with computational advances, this review summarizes the advantages and limitations of MB-enhanced MP separation and provides the perspective on potential applications after further improvements.

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