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Recent advances and factors affecting the adsorption of nano/microplastics by magnetic biochar

Chemosphere 2024 17 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 50 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.

Khurram Shahzad, Syed Naqvi, Al Hasan, Al Hasan, Syed Naqvi, Abrar Hussain, Saima Parveen, Khurram Shahzad, Kyong-Cheol Ko, Kyong-Cheol Ko, Syed Naqvi, Abrar Hussain, Sang Hyun Park Sang Hyun Park Sang Hyun Park Kyong-Cheol Ko, Kyong-Cheol Ko, Sang Hyun Park Sang Hyun Park

Summary

This review examines recent advances in using magnetic biochar to adsorb nano- and microplastics from aquatic environments. Researchers found that magnetic biochar offers advantages over traditional biochar by enabling easy separation from water using magnets, avoiding secondary pollution from filtration. The study identifies key factors affecting adsorption efficiency and highlights magnetic biochar as a promising tool for microplastic remediation in contaminated water.

The increase in nano/microplastics (NPs/MPs) from various everyday products entering aquatic environments highlights the urgent need to develop mitigation strategies. Biochar (BC), known for its excellent adsorption capabilities, can effectively target various harmful organic and inorganic pollutants. However, traditional methods involving powdered BC necessitate centrifugation and filtration, which can lead to the desorption of pollutants and subsequent secondary pollution. Magnetic biochar (MBC) offers a solution that facilitates straightforward and rapid separation from water through magnetic techniques. This review provides the latest insights into the progress made in MBC applications for the adsorption of NPs/MPs. This review further discusses how external factors such as pH, ionic strength, temperature, competing ions, dissolved organic matter, aging time, and particle size impact the MBC adsorption efficiency of MPs. The use of machine learning (ML) for optimizing the design and properties of BC materials is also briefly addressed. Finally, this review addresses existing challenges and future research directions aimed at improving the large-scale application of MBC for NPs/MPs removal.

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