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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Food & Water Human Health Effects Marine & Wildlife Nanoplastics Remediation Sign in to save

Capturing colloidal nano- and microplastics with plant-based nanocellulose networks

Nature Communications 2022 103 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 60 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Ilona Leppänen, Ilona Leppänen, Ilona Leppänen, Tekla Tammelin Timo Lappalainen, Timo Lappalainen, Tia Lohtander, Ilona Leppänen, Christopher Jonkergouw, Christopher Jonkergouw, Suvi Arola, Suvi Arola, Suvi Arola, Tekla Tammelin Tekla Tammelin Tekla Tammelin Tekla Tammelin Tekla Tammelin

Summary

Researchers developed a plant-based nanocellulose network that can capture even the smallest nanoplastic particles from water. The material works primarily through its moisture-absorbing properties, which are enhanced by the extremely high surface area of nanocellulose fibers. This technology could enable both better measurement of nanoplastic contamination in water and practical on-site collection of these hard-to-capture particles.

Microplastics accumulate in various aquatic organisms causing serious health issues, and have raised concerns about human health by entering our food chain. The recovery techniques for the most challenging colloidal fraction are limited, even for analytical purposes. Here we show how a hygroscopic nanocellulose network acts as an ideal capturing material even for the tiniest nanoplastic particles. We reveal that the entrapment of particles from aqueous environment is primarily a result of the network's hygroscopic nature - a feature which is further intensified with the high surface area of nanocellulose. We broaden the understanding of the mechanism for particle capture by investigating the influence of pH and ionic strength on the adsorption behaviour. We determine the nanoplastic binding mechanisms using surface sensitive methods, and interpret the results with the random sequential adsorption (RSA) model. These findings hold potential for the explicit quantification of the colloidal nano- and microplastics from different aqueous environments, and eventually, provide solutions to collect them directly on-site where they are produced.

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