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Dataset of the publication entitled 'Light-Powered Self-Adaptive Mesostructured Microrobots for Simultaneous Microplastics Trapping and Fragmentation via in situ Surface Morphing'
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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'
More Papers Like This
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.
Light‐Powered Self‐Adaptive Mesostructured Microrobots for Simultaneous Microplastics Trapping and Fragmentation via in situ Surface Morphing
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Researchers developed light-powered microrobots made from titanium dioxide that can both trap and break down microplastics in water. These tiny robots use sunlight to change their surface shape, catching microplastic particles and then fragmenting them through photocatalytic reactions. This innovative technology could offer a practical way to clean microplastic pollution from water sources.
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.
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.
Trapping and detecting nanoplastics by MXene-derived oxide microrobots
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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.
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.