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Trapping and detecting nanoplastics by MXene-derived oxide microrobots
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This dataset accompanies research on the use of MXene-derived oxide microrobots to trap and detect nanoplastics in water, demonstrating a novel approach for nanoplastic remediation and sensing.
Dataset of the article.
More Papers Like This
Trapping and detecting nanoplastics by MXene-derived oxide microrobots
AI summary Read the abstract
Researchers developed MXene-derived oxide microrobots capable of autonomously capturing nanoplastics from water using light-powered movement and magnetic collection. The self-propelled microrobots trapped nanoplastics on their surfaces and enabled subsequent electrochemical detection, offering a proof-of-concept for on-site nanoplastic screening and water remediation.
Dataset of the publication entitled 'Light-Powered Self-Adaptive Mesostructured Microrobots for Simultaneous Microplastics Trapping and Fragmentation via in situ Surface Morphing'
AI summary Read the abstract
This is a duplicate dataset entry for the study on light-powered microrobots for simultaneous microplastic trapping and fragmentation. The approach offers a novel active remediation method for plastic-contaminated water.
Dataset of the publication entitled 'Light-Powered Self-Adaptive Mesostructured Microrobots for Simultaneous Microplastics Trapping and Fragmentation via in situ Surface Morphing'
AI summary Read the abstract
This is the dataset for a study on light-powered microrobots that can simultaneously trap and fragment microplastics through adaptive surface morphing. The approach demonstrates a new strategy for active removal and breakdown of microplastics in contaminated water.
Lightweight MXene-derived TiO2/Pt micromotors for rapid “on-the-fly” sequestration of nanoplastics
AI summary
This review examined chemical contaminants in food, including microplastics, plasticizers, and other plastic-associated chemicals, assessing dietary exposure routes and potential health effects. The review synthesizes regulatory standards and monitoring data to inform food safety risk assessments for plastic-derived contaminants.
Visible-light-sensitive microrobots using H2O as fuel for highly efficient capture and precise detection of nanoplastics
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Researchers developed a cage-like microrobot powered by visible light and water that captures nanoplastics from solution within two minutes and detects them at low concentrations using surface-enhanced Raman scattering, with the robot recoverable via magnet for reuse.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.